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School of Energy - Renewable Energy Systems

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School of Energy - Renewable Energy Systems

Master AI in Renewable Energy Systems with our comprehensive program covering AI in Solar Energy, AI in Wind Energy, Professional Fuel Cell & PEMFC Engineering, Professional Electric Vehicle Engineering, Energy Storage, and Grid Integration. Our industry-focused curriculum equips students with skills in renewable energy and advanced mobility — PEMFC hydrogen systems and complete EV engineering from battery and BMS to motors, charging and AI. Includes hands-on projects, industry mentorship, and 100% placement assistance.

Gain practical experience with renewable energy technologies including photovoltaic (PV) systems, wind turbine design, fuel cell systems (PEM, SOFC), energy storage solutions (batteries, hydrogen), grid integration, energy management systems, and sustainability assessment. Learn from industry experts and work on real-world projects in solar farms, wind farms, fuel cell applications, and energy storage systems.

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School of Energy programmes

Dedicated pages for each focus area — curriculum content only, with RIA mentoring and enquiry support.

AI in Renewable Energy Systems

Intermediate–advanced systems track: VRE forecasting, plant analytics, PdM & CV, storage/EMS, smart grids, VPPs/DER and bankable digital O&M — with pathways into Solar and Wind.

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AI in Solar Energy

Intermediate–advanced: probabilistic PV forecasting, PR/loss attribution, inverter & tracker PdM, UAV thermal CV, plant optimisation and PV–BESS–EV energy management.

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AI in Wind Energy

Intermediate–advanced: hybrid NWP–ML forecasting, SCADA power-curve analytics, drivetrain PdM, UAV blade CV, wake-aware farm control and wind–BESS integration.

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Fuel Cells / PEMFC Engineering

Professional Fuel Cell Engineering with deep PEMFC specialization — hydrogen, MEA, stack design, BOP, testing, diagnostics and AI.

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Electric Vehicle Engineering

Professional EV Engineering — battery, BMS, motors, power electronics, charging, CAN, diagnostics and AI.

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School of Energy - Renewable Energy Systems Overview

  • Key Highlights
  • Extensive Classroom Training for Renewable Energy Systems
  • Practical Instruction by Industry Professionals
  • Over 20 Industry Projects and Case Studies
  • Comprehensive Renewable Energy Modules (Solar, Wind, Fuel Cells)
  • Exclusive Portal for Energy Sector Employment Opportunities
  • Alumni Status of RIA®
  • Practical Projects and Case Analyses
  • Internationally Acclaimed Dual Certification
  • Individual In-Person Career Mentorship Sessions
  • Comprehensive Career Assistance
  • Live Renewable Energy Program RIA® DoubtBuster Sessions
  • Over 350 Corporate Partners
  • Capstone projects that are practical and hands-on
  • Preparation for in-person job interviews (1:1)
  • Industry-Standard Energy Simulation Tools
  • Access to the Most Prominent Multinational Corporations
  • Zero-Cost EMI Available

Syllabus for School of Energy - Renewable Energy Systems

Immerse yourself in our carefully crafted curriculum covering over 300 hours of learning and practical tasks. Our Renewable Energy Systems program modules cover Solar Energy, Wind Energy, Fuel Cell Technology, Energy Storage, and Grid Integration. Leading industry professionals created this curriculum, guaranteeing a state-of-the-art educational experience with Master Certification.

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Topics That Will Keep You Engaged and Curious

AI in Solar Energy, AI in Wind Energy, Professional Fuel Cell & PEMFC Engineering, Energy Storage Systems, Grid Integration, Smart Grids, Microgrids, Energy Management Systems, PVsyst, WindPRO, HOMER Energy, MATLAB/Simulink, Electrochemical Testing

Your Roadmap to Learning

Start with renewable energy fundamentals, then progress to advanced system design and optimization. Each topic builds on previous knowledge, creating a solid foundation for mastering solar energy, wind energy, fuel cell technology, energy storage, and grid integration systems.

Ideal Candidates for Renewable Energy Programs

This program is perfect for engineering students (mechanical, electrical, chemical, energy), working professionals in energy sector, and anyone passionate about sustainable energy solutions. Whether you're from engineering, science, or related fields, this course provides comprehensive skills for a career in renewable energy systems, fuel cell technology, and energy management.

Minimum Eligibility for Renewable Energy Programs

A passion for renewable energy and sustainability is more important than specific degrees. To begin this path, a high school graduation or diploma in engineering/science is sufficient. Your passion for clean energy, sustainability, and using cutting-edge renewable energy technologies will advance your career. Learn renewable energy techniques that will expand your professional horizons in the growing green energy sector.

Job Opportunities After Renewable Energy Programs

Solar Energy Engineer, Wind Energy Engineer, Fuel Cell Engineer, Energy Storage Engineer, Grid Integration Specialist, Renewable Energy Consultant, Energy System Designer, Energy Analyst, Sustainability Engineer, Green Energy Project Manager, Energy Efficiency Specialist, Hydrogen Systems Engineer, Microgrid Engineer, Energy Management Specialist, Renewable Energy Researcher, Clean Energy Consultant

Industries That Are Hiring Renewable Energy Professionals

Renewable energy professionals are in high demand across a wide range of industries, including solar power companies, wind energy firms, fuel cell manufacturers, energy storage companies, utility companies, automotive (EV), aerospace, energy consulting, government energy departments, research institutions, green technology startups, and environmental organizations, demonstrating the widespread applicability of renewable energy skills in the growing green economy.

Globally Accredited Renewable Energy Systems Course in India

Discover the world of renewable energy with comprehensive training offered by RASA Institute of Analytics. Our Renewable Energy Systems program covers solar energy, wind energy, fuel cell technology, energy storage, and grid integration. Explore industry-standard tools and methodologies including PVsyst for solar design, WindPRO for wind analysis, HOMER Energy for system optimization, and fuel-cell system concepts used across clean energy applications.

At RASA Institute of Analytics, we provide a route to success in the renewable energy sector. Our program follows industry standards from organizations like MNRE (Ministry of New and Renewable Energy), DNV (for wind energy training), and leading fuel cell manufacturers. Join us and start your adventure to becoming a highly sought-after Renewable Energy specialist in India and abroad.

Why Should You Choose RASA Institute of Analytics For Renewable Energy Course in India?

RASA Institute of Analytics offers comprehensive renewable energy training that can help you start your path to a fulfilling career in the green energy sector. We are a shining example of excellence in renewable energy education, having shaped the careers of many Renewable Energy professionals both domestically and abroad.

Take advantage of our knowledgeable instructors, all of whom have over 15 years of industry experience. Our Master Certification in Renewable Energy Systems is designed to provide you the abilities and information required to succeed in India's rapidly growing renewable energy market. Our blended learning approach blends instructor-led sessions, hands-on training, and real-world projects in solar, wind, and fuel cell systems.

There are plenty of interview chances and renewable energy placement support available to you thanks to our specialized placement cell and wide network of more than 350 corporate partners. Our all-inclusive Renewable Energy course in India is made to meet and beyond your expectations, regardless of whether you're an experienced professional seeking to advance your skills or a recent graduate hoping to launch your renewable energy career in India. Take the first step toward realizing your full potential in India's rapidly evolving renewable energy industry by joining us today.

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Course Syllabus

  • Renewable Energy Systems Foundation: Orientation

    Quickly grasp the Renewable Energy Systems program and fundamental concepts, all while setting up essential software and tools. This introductory session sets the stage for a seamless learning experience in solar energy, wind energy, fuel cell technology, and energy storage systems.

    Welcome and Course Overview
    • Overview of Renewable Energy Systems Program
    • Why Renewable Energy is Important
    • Global Energy Transition Trends
    Key Concepts Overview
    • Renewable Energy Fundamentals
    • Energy Conversion Principles
    • Sustainability and Environmental Impact
    Software Installation Guidance
    • PVsyst for Solar Design
    • WindPRO for Wind Analysis
    • HOMER Energy for System Optimization
    • MATLAB/Simulink for Energy Modeling
    Course Expectations and Structure
    • Summary of Energy Modules
    • Overview of Projects and Evaluations
    • Industry Standards and Certifications
  • AI in Solar Energy

    Apply Artificial Intelligence across the solar-energy lifecycle — from irradiance forecasting and AI-powered PV optimization to predictive maintenance, computer vision inspection, farm analytics, storage / hybrid coordination and smart energy management — while retaining PV fundamentals, design awareness and tools such as PVsyst. Full programme detail: AI in Solar Energy.

    Solar Energy & AI Fundamentals
    • Solar radiation, irradiance and PV basics
    • Modules, inverters, BOS and CSP adjacency
    • AI across the solar-energy value chain
    • IoT, SCADA and analytics for solar operations
    Forecasting & PV Optimization
    • AI/ML irradiance and generation forecasting
    • Weather, satellite, sensor and SCADA data
    • Performance-loss and anomaly detection
    • Yield, CUF and plant-level optimization
    Predictive Maintenance & CV
    • Condition monitoring for modules and inverters
    • Tracker, transformer and BOS fault signals
    • Drone / thermal imaging panel inspection
    • Hotspots, soiling, cracks and shading detection
    Farms, Storage & EV Charging
    • Rooftop, C&I and utility-scale AI use cases
    • Solar-farm and tracker optimization
    • AI + battery and hybrid energy management
    • AI-powered solar EV charging coordination
    Design & Project Context Retained
    • Site assessment and feasibility framing
    • SLD / BOQ and bankability awareness
    • PVsyst-oriented yield thinking
    • Grid integration and smart EMS
  • AI in Wind Energy

    Apply Artificial Intelligence across the wind-energy lifecycle — from wind-resource forecasting and AI-powered turbine optimization to predictive maintenance, computer vision inspection, farm-level yield improvement and smarter grid integration. Full programme detail: AI in Wind Energy.

    Wind Energy & AI Fundamentals
    • Wind-energy systems and turbine architecture
    • Wind characteristics and resource basics
    • AI across the wind-energy value chain
    • ML, IoT and analytics for wind operations
    Forecasting & Turbine Optimization
    • AI/ML wind-speed and power forecasting
    • Resource assessment with data-driven models
    • SCADA data analysis and anomaly detection
    • AI-driven turbine performance optimization
    Predictive Maintenance & CV
    • Condition monitoring for blades, gearbox, generator
    • Early fault detection and O&M decision support
    • Drone and imaging-based blade inspection
    • Deep learning for crack and corrosion detection
    Farms, Storage & Grid
    • Farm-level optimization and wake-effect analysis
    • Onshore and offshore AI use cases
    • AI + storage and demand flexibility
    • Smart grid integration of variable wind power
  • Professional Fuel Cell Engineering Program — PEMFC Specialization

    6–9 Months | 30 Weeks | 400–500+ Hours — Hydrogen • Electrochemistry • Fuel Cells • PEMFC • Stack Design • Materials • Controls • Testing • Applications. Theory + simulation + materials lab + electrochemistry lab + stack lab + testing + industry project.

    Program objective: Develop industry-ready fuel-cell engineers who understand hydrogen-energy systems, electrochemistry, fuel-cell materials, stack architecture, PEMFC design, balance-of-plant, control systems, testing, diagnostics and commercialization — not just “how a fuel cell works.”

    Student journey: Energy Fundamentals → Hydrogen Economy → Electrochemistry → Fuel Cell Technologies → PEMFC Fundamentals → Materials & Components → MEA → Single Cell → Stack Design → Balance of Plant → Control & Instrumentation → Testing & Characterization → Diagnostics → System Integration → Industry Application.

    Core promise: Don't just learn fuel cells. Learn to engineer the complete hydrogen-to-power system.

    Target engineering roles
    • Fuel Cell / PEMFC Engineer, Stack Design Engineer, Electrochemical Engineer
    • Hydrogen Energy Engineer, Fuel Cell Systems & Application Engineer
    • Materials, Membrane, Catalyst, MEA, Bipolar Plate, Manufacturing Engineer
    • Controls, Power Electronics, Test, Diagnostics & Reliability Engineer
    Three RASA certification levels
    • Level 1 — Fuel Cell Technology Professional: Hydrogen + electrochemistry + fuel cell fundamentals
    • Level 2 — PEMFC Engineering Professional: Materials + MEA + stack + testing + controls
    • Level 3 — Advanced PEMFC Systems Engineer: BOP + simulation + diagnostics + AI + industry application
    Phase 1 — Energy & Hydrogen Fundamentals (Weeks 1–2)
    Module 01 — Energy Systems
    • Energy, power, work, efficiency; energy/power density; specific energy/power
    • Conventional vs renewable energy; batteries, supercapacitors, hydrogen, thermal storage
    • Comparison: Battery vs hydrogen fuel cell — density, refueling, efficiency, weight, range, infrastructure
    Module 02 — Hydrogen Economy
    • Hydrogen properties, production, storage, transport, utilization
    • SMR, alkaline/PEM/SOEC electrolysis, biomass pathways; grey/blue/green hydrogen
    • Value chain: production → compression/storage → transport → dispensing → fuel cell → electricity + heat + water
    Phase 2 — Electrochemistry (Weeks 3–4)
    Module 03 — Electrochemistry Fundamentals
    • Atoms, ions, electrons; oxidation/reduction; electrolytes, electrodes, cells
    • Anode → electrolyte → cathode; electrode/cell potential, OCV, equilibrium, kinetics
    Module 04 — Electrochemical Thermodynamics
    • Gibbs free energy, enthalpy, entropy, chemical potential, reversible voltage
    • Nernst equation; Faraday's Law — hydrogen consumption → electron flow → current
    • Practical: Theoretical cell voltage, H₂/O₂ consumption, theoretical efficiency
    Phase 3 — Fuel Cell Technologies (Weeks 5–6)
    Module 05 — Introduction to Fuel Cells
    • Chemical energy → electrochemical reaction → electrical energy
    • Anode, cathode, electrolyte, catalyst, GDL, current collectors
    Module 06 — Types of Fuel Cells
    • PEMFC, AFC, PAFC, MCFC, SOFC, DMFC — electrolyte, temperature, applications
    • Comparison matrix for mobility, stationary, portable and specialized uses
    Phase 4 — PEMFC Fundamentals (Weeks 7–8)
    Module 07 — PEMFC Operating Principle
    • Anode HOR; membrane proton transport; cathode ORR; H₂ + O₂ → electricity + heat + water
    Module 08 — PEMFC Performance
    • Polarization: activation → ohmic → mass transport losses
    • OCV, operating voltage, current/power density, efficiency, fuel/air utilization
    • Curves: V–i, power density vs current, efficiency vs load
    Phase 5 — PEMFC Materials & Components (Weeks 9–11)
    Module 09 — PEMFC Membrane
    • Proton conductivity, water uptake, gas crossover, chemical/mechanical stability, thickness
    • Challenges: dehydration, swelling, degradation, hydrogen crossover
    Module 10 — PEMFC Catalyst
    • Electrocatalysis, Pt nanoparticles, support, loading; HOR and ORR
    • Poisoning, dissolution, particle growth, carbon corrosion
    Module 11 — Gas Diffusion Layer
    • Gas/water transport, conductivity, porosity, wettability, hydrophobicity
    • Carbon paper/cloth, MPL; trade-offs: gas transport ↔ water ↔ compression
    Module 12 — Bipolar Plates
    • Gas distribution, current collection, water/heat management, structure
    • Graphite, metal, coated metals, composites; serpentine, parallel, interdigitated flow fields
    Phase 6 — MEA & Single-Cell Engineering (Weeks 12–13)
    Module 13 — Membrane Electrode Assembly
    • Catalyst layer → membrane → catalyst layer → GDLs
    • Catalyst ink, electrode fabrication, hot pressing, MEA assembly, loading
    • Practical: Laboratory-scale MEA under supervised lab conditions
    Module 14 — Single Cell Assembly
    • End plates, bipolar plates, gaskets, MEA, GDLs, current collectors
    • Alignment, compression, sealing, torque control, leak testing
    Phase 7 — PEMFC Stack Engineering (Weeks 14–16)
    Module 15 — Stack Architecture
    • Cell → stack series connection; voltage, current, power
    • Repeat units, end plates, tie rods, compression
    Module 16 — Stack Design
    • Cell count, active area, current density, gas flow, cooling, pressure
    • Exercise: Design a 5 kW PEMFC stack — cells, voltage, current, H₂/air flow, heat
    Module 17 — Thermal & Water Management
    • Hydration, electro-osmotic drag, back diffusion, flooding, drying
    • Heat generation, cooling, temperature distribution; dry vs wet failure modes
    Phase 8 — Balance of Plant (Weeks 17–18)
    Module 18 — PEMFC Balance of Plant
    • H₂ side: storage, pressure regulation, valves, sensors, flow control
    • Air side: compressor/blower, filters, humidification; cooling loop; DC/DC, inverter, battery interface
    Module 19 — PEMFC System Architecture
    • H₂ → regulation → stack → DC/DC → DC bus → inverter/load
    • Parallel: air supply, cooling, water management, control system
    Phase 9 — Controls & Power Electronics (Weeks 19–20)
    Module 20 — Fuel Cell Control Systems
    • Sensors: pressure, temperature, humidity, flow, voltage, current
    • Control of H₂/air flow, stack temperature, pressure, humidity; PID, feed-forward, supervisory
    Module 21 — Fuel Cell Power Electronics
    • DC/DC, DC bus, inverter, load management, battery integration
    • Hybrid FC + battery for vehicles, drones, robotics, backup; energy management strategies
    Phase 10 — Testing & Characterization (Weeks 21–22)
    Module 22 — PEMFC Testing
    • Electronic load, flow/pressure/temp/humidity sensors, DAQ
    • OCV, polarization, constant current/power, dynamic load procedures
    Module 23 — Electrochemical Characterization
    • EIS: Nyquist, equivalent circuits, ohmic/charge-transfer/mass-transport
    • Cyclic voltammetry: catalyst activity, ECSA; hydrogen crossover and membrane integrity
    Phase 11 — Diagnostics & Failure Analysis (Week 23)
    Module 24 — Failure Analysis
    • Drying, flooding, catalyst degradation, carbon corrosion, crossover, seals, plate corrosion
    • Diagnostic loop: symptom → measurement → hypothesis → test → root cause → corrective action
    • Case study: 20% stack power drop — RCA report on flow, humidity, temperature, cell voltage, resistance
    Phase 12 — Manufacturing & Quality (Week 24)
    Module 25 — PEMFC Manufacturing
    • Materials → membrane → catalyst layer → MEA → GDL → cell → stack → test → QC
    • Quality: loading, thickness, leakage, cell voltage consistency, compression, contact resistance
    Module 26 — Quality Engineering
    • QC, SPC, process capability, FMEA, RCA, reliability, accelerated testing
    Phase 13 — Simulation & Digital Engineering (Week 25)
    Module 27 — PEMFC Modelling
    • Electrochemical → single cell → stack → system modelling
    • MATLAB/Simulink, COMSOL/ANSYS, Python; model voltage, polarization, H₂/air, power
    Module 28 — Digital Twin Concepts
    • Digital twin, real-time monitoring, predictive diagnostics, model-based control, RUL
    • Physical PEMFC ↔ digital model ↔ sensor data
    Phase 14 — Hydrogen Safety & Regulations (Week 26)
    Module 29 — Hydrogen Safety Engineering (mandatory)
    • Hydrogen properties: diffusivity, flammability, ignition, leakage
    • Leak detection, ventilation, pressure relief, isolation, ESD, grounding, hazard ID
    • Lab safety: gas/cylinder handling, pressure systems, electrical, PPE, emergency response
    • Practical: HAZOP / risk assessment / FMEA for a laboratory PEMFC system
    Phase 15 — Application Specialization Tracks (Week 27)
    Tracks A–C
    • A — Hydrogen Mobility: FCEV architecture, stack, battery, DC/DC, motor, H₂ storage, thermal
    • B — Fuel Cell Drones: H₂ → PEMFC → DC/DC → battery → ESC → motors; weight, endurance, hybrid UAV design
    • C — Stationary Power: backup, telecom, data centres, microgrids, hybrid renewables
    Tracks D–F
    • D — Materials & MEA R&D: membrane, catalyst, GDL, durability
    • E — Testing & Diagnostics: polarization, EIS, degradation, CVM
    • F — Electrolyzer + PEMFC: renewables → PEM electrolyzer → H₂ → PEMFC → electricity (green hydrogen loop)
    Phase 16 — AI for Fuel Cell Engineering (Module 30)
    Module 30 — AI & Data Analytics for PEMFC
    • Performance prediction, fault detection, RUL, degradation, optimal operating points, H₂ consumption
    • Regression, classification, time-series, anomaly detection on T/P/RH/I/V data
    • Project: PEMFC fault detection prototype — flooding, drying, abnormal T/P, voltage degradation
    Phase 17 — RASA PEMFC Engineering Challenge Capstone (Weeks 28–30)
    Capstone options
    • Option 1 — 1 kW PEMFC Power System: stack + H₂/air/cooling + sensors + controller + DC/DC
    • Option 2 — PEMFC Drone: hydrogen hybrid UAV — power, weight, endurance, thermal
    • Option 3 — PEMFC EV: FCEV passenger vehicle sizing and thermal management
    • Option 4 — Green Hydrogen Microgrid: solar → electrolyzer → storage → PEMFC → AC load
    • Option 5 — PEMFC R&D: vary membrane/catalyst/humidity/T/P/stoichiometry vs performance
    Capstone deliverables (20 items)
    • Problem statement, requirements, literature, technology selection, architecture, BOM
    • Calculations, CAD/system model, simulation, test plan/procedure, DAQ, performance analysis
    • Safety analysis, FMEA, cost, sustainability, technical report, demo, industry presentation
    Labs, toolkit, portfolio & assessment
    Seven dedicated labs
    • Electrochemistry, PEMFC Single Cell, MEA, Stack, Testing, Instrumentation, Simulation
    Software toolkit
    • MATLAB/Simulink, COMSOL/ANSYS, Python ML, SolidWorks/Fusion, LabVIEW/DAQ, Git
    8–10 mini projects
    • H₂ system analysis, FC comparison, polarization, H₂ consumption, thermal, MEA, stack sizing, control sim, EIS, AI degradation
    Assessment framework
    • Energy & H₂ (5%), electrochemistry (10%), FC technologies (5%), PEMFC fundamentals (10%), materials (10%), MEA/cell (10%), stack (10%), BOP (5%), controls/PE (5%), testing/diagnostics (10%), simulation (5%), safety (5%), AI (5%), capstone (10%)

    Four engineering layers: SCIENCE (hydrogen + electrochemistry) → CELL (membrane + catalyst + GDL + MEA) → SYSTEM (stack + BOP + thermal + controls + power electronics) → INTELLIGENCE (simulation + data analytics + AI + diagnostics).

    Enquire about this program

  • Professional Electric Vehicle Engineering Program

    6–9 Months | 30 Weeks | 400–500+ Hours — EV Design • Battery • BMS • Motors • Power Electronics • Charging • Embedded Systems • Diagnostics • AI. Theory + automotive lab + battery lab + electronics lab + simulation + vehicle lab + industry projects.

    Program objective: Develop industry-ready EV engineers who understand the complete electric vehicle architecture — from battery chemistry and motor selection to BMS, power electronics, charging, vehicle control, diagnostics and connected/AI-enabled EV systems — not just EV servicing.

    Student journey: Understand EV → Battery → Motor → Power Electronics → Design Battery Pack → Develop BMS → Control Motor → Integrate Vehicle → Implement Charging → CAN Communication → Diagnose EV → Thermal Management → Apply AI → Build & Test EV.

    Core promise: Don't just learn how an EV works. Learn to engineer the complete electric vehicle.

    Target career roles
    • EV / Powertrain / Battery / BMS / Motor / Power Electronics Engineer
    • Embedded EV, CAN, ECU, Controls, Vehicle Integration Engineer
    • Battery Testing, Validation, Quality, Manufacturing, Diagnostics Engineer
    • EV Service, Charging Infrastructure, ADAS, Connected Vehicle, EV Data/AI Engineer
    Three RASA certification levels
    • Level 1 — EV Technology Professional: EV fundamentals + battery + motor + charging + safety
    • Level 2 — Professional EV Engineer: Battery + BMS + motor + power electronics + embedded + CAN + diagnostics
    • Level 3 — Advanced EV Systems Engineer: Full powertrain + controls + simulation + AI + connected EV
    Phase 1 — EV Fundamentals (Weeks 1–2)
    Module 01 — Introduction to Electric Vehicles
    • ICE → hybrid → PHEV → BEV → FCEV evolution; BEV, HEV, PHEV, FCEV, mild hybrid
    • Architecture: battery → BMS → power electronics → motor → transmission → wheels
    • Parallel: charging, thermal management, VCU, auxiliary systems
    Module 02 — EV Energy & Power Fundamentals
    • Voltage, current, resistance, power, energy, efficiency
    • Motor power, battery energy, consumption, range, charging time, regen energy
    • Example: 60 kWh battery, 15 kWh/100 km — estimate driving range
    Phase 2 — Automotive Fundamentals (Weeks 3–4)
    Module 03 — Vehicle Engineering
    • Chassis, suspension, steering, braking, wheels/tyres, body, HVAC
    • Rolling resistance, aero drag, gradient resistance; tractive force calculations
    • Practical: Wheel force → motor torque → motor power
    Module 04 — EV vs ICE Powertrain
    • Compare energy source, prime mover, transmission, emissions, regeneration, control
    • Why EV architecture differs — engineering rationale, not component memorization
    Phase 3 — Battery Technology (Weeks 5–7)
    Module 05 — Battery Fundamentals
    • Cell, module, pack; voltage, capacity, energy, C-rate, SOC, SOH, DOD
    • Chemistries: lead acid, NiMH, Li-ion, LFP, NMC, NCA, LTO — density, safety, cost, cycle life
    Module 06 — Lithium-Ion Battery
    • Cathode, anode, separator, electrolyte; cylindrical, prismatic, pouch formats
    • Charge/discharge, internal resistance, voltage curves, temperature, degradation
    Module 07 — Battery Testing
    • Capacity, charge/discharge, cycle, IR, temperature, rate capability tests
    • V vs SOC, I vs time, temperature, degradation, efficiency analysis
    Phase 4 — Battery Pack Engineering (Weeks 8–9)
    Module 08 — Battery Pack Design
    • Cell → module → pack; nominal/max/min voltage, capacity, energy, peak/continuous current
    • Design: 72 V, 100 Ah EV pack — series/parallel, energy, current capability
    Module 09 — Battery Mechanical Design
    • Cell arrangement, busbars, enclosure, mounting, vibration, sealing, IP, crash
    • CAD: Battery pack enclosure in SolidWorks / Fusion / CATIA awareness
    Phase 5 — Battery Management System (Weeks 10–11)
    Module 10 — BMS Fundamentals
    • Cell V/T monitoring, SOC/SOH, balancing, OV/UV/OC/SC/thermal protection
    Module 11 — SOC & SOH
    • Coulomb counting, OCV, model-based; capacity/resistance/degradation SOH
    • Intro: Kalman filter, EKF, observer-based estimation
    Module 12 — Cell Balancing
    • Passive vs active balancing; imbalance causes, strategies, losses, thermal impact
    Phase 6 — Electric Motors (Weeks 12–14)
    Module 13 — Electric Motor Fundamentals
    • Brushed DC, BLDC, PMSM, induction, SRM — torque, efficiency, density, cost, control
    Module 14 — EV Motor Engineering
    • Torque, RPM, power, efficiency, torque-speed curve; starting torque, gradeability, regen
    • Practical: Motor selection for passenger EV from weight, acceleration, speed, grade
    Module 15 — Motor Control
    • PWM, commutation, FOC awareness, torque/speed control
    • Regenerative braking: kinetic energy → generator → inverter → battery
    Phase 7 — Power Electronics (Weeks 15–16)
    Module 16 — EV Power Electronics
    • MOSFET, IGBT, SiC, diodes, DC/DC, inverter, on-board charger; DC↔AC conversion
    Module 17 — EV Inverter
    • Battery DC → inverter → 3-phase AC → motor; PWM, gate drivers, DC link, sensing, protection
    Module 18 — DC/DC & Auxiliary Systems
    • HV battery → DC/DC → 12 V LV system; lights, infotainment, ECUs, sensors, pumps, fans
    Phase 8 — EV Powertrain (Weeks 17–18)
    Module 19 — Complete Electric Powertrain
    • Battery → BMS → contactor → inverter → motor → transmission → wheel integration
    • VCU: accelerator, brake, motor, BMS, charging, regeneration, safety coordination
    Module 20 — EV Performance Simulation
    • Acceleration, range, consumption, motor power, battery capacity, gradeability, regen
    • Tools: MATLAB/Simulink, Python, AVL / equivalent automotive simulation
    Phase 9 — EV Charging (Week 19)
    Module 21 — EV Charging Technology
    • AC/DC/fast charging; EVSE, connector, cable, charger, communication, protection
    • Grid → EVSE → OBC/DC charger → battery architecture
    Module 22 — Charging Standards
    • Type 1/2, CCS, CHAdeMO, GB/T, NACS awareness
    • Indian EV charging ecosystem and current standards/guidelines
    Phase 10 — Thermal Management (Week 20)
    Module 23 — EV Thermal Management
    • Heat sources: battery, motor, inverter, charger, DC/DC
    • Air, liquid, refrigerant cooling; heat exchangers; temperature → performance → safety → life
    Module 24 — Battery Thermal Runaway
    • Thermal runaway, propagation, venting, detection, prevention
    • Monitoring, cooling, isolation, shutdown, venting safety engineering
    Phase 11 — Embedded Systems & CAN (Week 21)
    Module 25 — Automotive Embedded Systems
    • STM32, ESP32, automotive MCU awareness; UART, SPI, I2C, CAN
    Module 26 — CAN Bus (mandatory)
    • CAN frames, IDs, arbitration, termination, errors; CAN, LIN, Automotive Ethernet intro
    • Practical: BMS → CAN → VCU → inverter message monitoring
    Phase 12 — EV Diagnostics (Week 22)
    Module 27 — EV Diagnostics
    • Fault codes, sensors, actuators, ECUs, CAN messages; OBD, DTCs, live data
    • Practical: Simulated EV fault — symptom → data → root cause → repair
    Module 28 — EV Service & Maintenance
    • Preventive maintenance: battery, motor, cooling, brakes, tyres, charging, HV connectors
    • HV isolation, insulation monitoring, battery health, cooling/charging fault diagnosis
    Phase 13 — EV Software, Connectivity & AI (Week 23)
    Module 29 — Connected EV
    • Telematics, GPS, vehicle cloud, remote monitoring, OTA, mobile apps
    • Vehicle → telematics → cloud → analytics → mobile/web
    Module 30 — AI for EV Engineering
    • SOH/RUL prediction, fault detection, range prediction, energy optimization, predictive maintenance
    • Project: Battery health prediction from V/I/T/cycles/capacity using ML
    Phase 14 — EV Safety & Regulations (Week 24)
    Module 31 — High Voltage Safety (mandatory)
    • HV architecture, isolation, interlocks, contactors, pre-charge, insulation monitoring
    • HV PPE, lockout/tagout, isolation procedure, emergency response, battery safety hazards
    Module 32 — EV Standards & Regulatory Awareness
    • Automotive, battery safety, charging, electrical safety, EMC, functional safety awareness
    • Indian EV regulations and certification ecosystem (periodic review recommended)
    Phase 15 — Advanced EV Engineering (Weeks 25–26)
    Module 33 — Vehicle Control
    • VCU: accelerator/brake, motor command, battery limits, regen, torque request; drive modes
    Module 34 — Functional Safety Awareness
    • Hazard analysis, risk assessment, safety goals, fail-safe, redundancy, diagnostics
    Module 35 — EV Cybersecurity Awareness
    • Connected vehicles, CAN vulnerabilities, secure comms, OTA security, data privacy
    Specialization Tracks (Week 27)
    Tracks A–D
    • A — EV Battery Engineering: Li-ion, pack, thermal, BMS, SOC/SOH, testing, recycling
    • B — BMS Engineering: monitoring, balancing, protection, CAN, embedded, diagnostics
    • C — EV Powertrain: motor, inverter, VCU, torque, regen, sizing
    • D — EV Power Electronics: inverter, DC/DC, OBC, SiC, PWM, thermal design
    Tracks E–H
    • E — EV Charging: AC/DC, EVSE, communication, load management, infrastructure
    • F — EV Embedded & CAN: STM32, CAN, protocols, embedded C, ECUs
    • G — EV AI & Data Analytics: battery analytics, range, fault detection, optimization
    • H — EV Design & CAD: architecture, enclosure, motor mounts, cooling, packaging
    Phase 17 — RASA EV Engineering Challenge Capstone (Weeks 28–30)
    Capstone options
    • Option 1 — Electric Two-Wheeler: battery, BMS, controller, motor, range/speed/grade
    • Option 2 — Electric Go-Kart: full build + acceleration/range/thermal/energy tests
    • Option 3 — EV Battery Pack: 48/72 V system with CAD, BMS, thermal, safety, testing
    • Option 4 — EV Charging System: AC charging station architecture
    • Option 5 — AI EV Diagnostics: CAN/sensors → cloud → AI fault prediction
    • Option 6 — EV + Solar: solar → charge controller → EV charger → battery
    Hybrid Electric Mobility Lab (cross-program)
    • Compare BEV vs PEMFC-EV vs hybrid PEMFC+battery architectures
    • Efficiency, weight, range, power, energy density, cost, thermal, control strategy
    • Links to PEMFC Engineering and Drone Engineering
    Labs, toolkit, portfolio & assessment
    Eight dedicated labs
    • Electrical, Battery, Motor, Power Electronics, Embedded, EV Vehicle, Diagnostics, Simulation
    Software & hardware
    • CATIA/SolidWorks/Fusion, MATLAB/Simulink, LTspice, STM32, CAN tools, Python ML, KiCad
    • Li-ion cells, BMS, BLDC/PMSM, inverter, DC/DC, CAN, battery cycler, HV platform (shared lab)
    8–10 mini projects
    • Capacity test, cell characterization, pack design, BMS prototype, BLDC control, regen sim, DC/DC, CAN, range calculator, AI SOH
    Assessment framework
    • EV fundamentals (5%), automotive (5%), battery (10%), pack (10%), BMS (10%), motors (10%), power electronics (10%), powertrain (10%), charging (5%), embedded/CAN (5%), thermal (5%), diagnostics (5%), AI (5%), capstone (10%)

    Five engineering layers: ENERGY (battery + charging) → POWER (motor + inverter + DC/DC) → CONTROL (BMS + VCU + embedded + CAN) → VEHICLE (powertrain + dynamics + thermal + safety) → INTELLIGENCE (AI + diagnostics + connectivity).

    Enquire about this program

  • Energy Storage Systems

    Master Energy Storage Systems including battery technologies, hydrogen storage, flow batteries, and energy management. Learn battery chemistry, BMS design, grid-scale storage, and integration with renewable energy systems.

    Battery Technologies
    • Lithium-ion Battery Chemistry
    • Battery Types (Li-ion, Lead-acid, Flow, Solid-state)
    • Battery Pack Design and Integration
    • Battery Management Systems (BMS)
    • Battery Safety and Thermal Management
    • Battery Lifecycle and Recycling
    Flow Battery Assembly
    • Flow Battery Fundamentals
    • Vanadium Redox Flow Batteries
    • Flow Battery System Design
    • Electrolyte Management
    • Grid-Scale Energy Storage
    • Long-Duration Storage Applications
    Hydrogen Storage
    • Hydrogen Storage Methods (Compressed, Liquid, Solid)
    • Storage System Design
    • Safety and Regulations
    • Hydrogen Infrastructure
    • Storage Integration with Fuel Cells
    • Hydrogen Economy Applications
    Energy Management Systems
    • Energy Storage Control Strategies
    • Peak Shaving and Load Shifting
    • Frequency Regulation and Grid Services
    • Microgrid Integration
    • Energy Management Software
    • Optimization Algorithms
  • Grid Integration and Energy Systems

    Master Grid Integration of renewable energy systems, smart grids, microgrids, power quality, and energy system optimization. Learn grid codes, interconnection standards, and advanced energy management.

    Grid Integration Fundamentals
    • Grid-Tied Systems and Interconnection
    • Grid Codes and Standards
    • Power Quality and Grid Stability
    • Inverter Grid Support Functions
    • Fault Ride-Through Capability
    • Grid Synchronization
    Smart Grid Technologies
    • Smart Grid Architecture
    • Advanced Metering Infrastructure (AMI)
    • Demand Response Systems
    • Grid Monitoring and Control
    • Distributed Energy Resources (DER)
    • Grid Modernization
    Microgrids and Islanding
    • Microgrid Design and Architecture
    • Islanding and Grid Disconnection
    • Microgrid Control Systems
    • Hybrid Energy Systems
    • Resilience and Reliability
    • Microgrid Applications
    Energy System Optimization
    • HOMER Energy for System Optimization
    • Energy System Modeling
    • Life Cycle Assessment (LCA)
    • Cost-Benefit Analysis
    • Environmental Impact Assessment
    • Performance Monitoring and Optimization
  • Capstone Project

    Enhance your career path by acquiring knowledge, expertise, and approaches to progress in the evolving renewable energy industry.

    Soft Skills Training
    • Presentation Skills
    • Email Etiquettes
    • LinkedIn Profile Building
    • Personality Development and Grooming
    Interview Preparation
    • Interview Do's and Don'ts
    • Mock Interviews
    • HR And Technical Interview Prep
    • One-On-One Feedback
    Portfolio Development
    • Portfolio Creation and Optimization
    • Renewable Energy Project Showcase
    • Technical Portfolio Presentation
    • Industry Network Building

Enhance your career path by acquiring knowledge, expertise, and approaches to progress in the evolving renewable energy industry.

Soft Skills Training
  • Presentation Skills
  • Email Etiquettes
  • LinkedIn Profile Building
  • Personality Development and Grooming
Interview Preparation
  • Interview Do's and Don'ts
  • Mock Interviews
  • Portfolio Review
  • HR And Technical Interview Prep
  • One-On-One Feedback
Portfolio Development
  • Portfolio Creation and Optimization
  • Renewable Energy Project Showcase
  • Technical Portfolio Presentation
  • Industry Network Building

Join the Master Certification in Renewable Energy Systems

Apply Now
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