close
R I A

School of Energy - Renewable Energy Systems

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, hands-on PEM fuel cell and electrolyser levels, 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.

Choose a track

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.

View programme

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.

View programme

AI in Wind Energy

14-week foundational cohort: energy & wind basics, ML, forecasting, hybrid dispatch and GenAI. Field practice covers climate, measurement and farm layout.

View programme

Hydrogen & Fuel Cells

Hydrogen energy systems — production, safety, market and logistics — then hands-on PEM fuel cell and electrolyser levels.

View programme

Electric Vehicle Engineering

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

View programme

Battery Management System

80-hour BMS track — cell chemistry, SoC/SoH, balancing, thermal safety, MATLAB/Simulink, embedded CAN, EV and solar storage.

View programme

Energy Management & Net Zero

Site audits, plant losses, a carbon plan, whole-system briefing, and grid connection with storage. Solar, wind, hydrogen and BMS stay on their own pages.

View programme

Energy Shift Leadership

For people who already lead a function. System view, teams, finance, risk and a decision you take back to work.

View programme

School of Energy - Renewable Energy Systems Overview

  • 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.

DOWNLOAD BROCHURE

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.

Talk to Our Expert

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

    Concise 14-week foundational programme — energy & wind basics, data visualization, supervised/unsupervised ML, classical and deep-learning time series, hybrid systems, generative & agentic AI copilots, and green-hydrogen integration. Expandable into deeper SCADA / PdM / CV tracks on request. Full detail: AI in Wind Energy.

    Foundations (Weeks 1–4)
    • Basics of energy & renewables
    • Wind engineering essentials
    • AI site assessment & layout scoring
    • Energy dashboards (Power BI / Python)
    ML & Forecasting (Weeks 5–8)
    • Supervised & unsupervised learning
    • Time series fundamentals (ARIMA)
    • Deep learning forecasts (LSTM / Transformers)
    • Grid integration & bidding basics
    Systems & GenAI (Weeks 9–11)
    • Hybrid solar + wind + battery dispatch
    • Smart grid & storage basics
    • Renewable Energy Copilot (RAG / agents)
    • Green hydrogen & electrolyzer AI
    Capstone (Weeks 12–13)
    • Forecasting, micrositing, hybrid or GenAI project
    • Stakeholder-ready presentation
    • RIA Certificate in AI for Wind & Renewables
    • Career pathways in energy analytics
  • Hydrogen-based Energy Systems

    For engineers, energy managers and professionals moving into hydrogen, before or beside the bench levels. Outline aligned with the Energy Institute Academy hydrogen topic. Taught and certified by RIA School of Energy.

    • Decarbonisation: hydrogen’s place in net-zero policy, and the limits of a hydrogen-only story
    • Hydrogen economy: grid constraints, renewables, power-to-X, sector coupling, clusters, consent
    • Market: today’s producers and users, the gap to 2050, levelised cost of hydrogen
    • Properties and safety: gas, liquid and derivatives against familiar fuels, and the hazards of each
    • Production: colour labels, carbon intensity, electrolysis families, reforming
    • Consumption: current users, the shift from sector coupling, combustion versus fuel cells
    • Infrastructure and logistics: storage and transport, including long distance and long duration
    • On enquiry: transport, gas-grid use, industrial heat and feedstock

    Enquire about hydrogen energy systems

  • PEM Fuel Cell & Electrolyser — Hands-on Levels

    You mix ink, press a membrane and test the cell you bolted together. Talk time is short. The rest of the day is the station.

    LookBefore you build
    Hydrogen Experience

    Come in before a build week, or on its own. A live cell and a live electrolyser, and a turn on the controls instead of a slide deck.

    • Start, load and stop a PEM cell
    • Watch the electrolyser make gas
    • Read voltage, current and flow
    IFuel cell
    Make a PEM fuel cell

    From catalyst ink to a single cell that has been run on the test station.

    • Mix the catalyst ink
    • Coat and make the electrode
    • Hot-press the membrane sandwich
    • Size and fit the gasket
    • Bolt the single cell
    • Read the performance curve
    IIElectrolyser
    Run a PEM electrolyser

    This week is water-splitting only. The fuel-cell build stays in Level I. A day on an iridium catalyst can be added if you need it.

    • Assemble the electrolyser cell
    • Platinum-carbon membrane assembly
    • Plot the run
    • Measure gas with a water column
    • Work out efficiency
    • Repeat on a bought membrane
    • Hydrogen and oxygen evolution
    IIIBoth cells
    Both machines, one visit

    Level I and Level II on the same bench. You leave having assembled and tested a fuel cell and an electrolyser.

    • Fuel-cell build
    • Electrolyser build
    • Both cells tested before you go
    IVStack
    Stack week for labs and plants

    For engineers already in a job and for research scholars. Levels I and II first, then a short stack. The membrane is a perfluorinated film or the equivalent on the bench that week. A methanol cell runs only when the materials are in stock. Bring your own sample only after we agree the station can take it.

    • Plot and calculate a cell run
    • Assemble the mechanical hardware
    • Short stack on hydrogen
    • Stack measurements
    • Catalyst-coated membrane trials
    • Carbon paper as the electrode
    • Methanol cell, when stocked
    • Metal-hydride canister
    Extra
    • Metal-hydride storage
    • Rotating disk and impedance
    • Durability cycling
    • Custom coating and plating
    • Plates, membranes and diffusion layers

    We set the dates with your cohort, including holiday weeks. Call +91 98843 63200 or name the level in the enquiry.

    Enquire about a level

  • 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

  • Battery Management System (BMS)

    80 hours — Renewable Energy & EV Engineering. Understand, model, design, simulate, monitor and test Battery Management Systems for electric vehicles, solar energy storage and industrial battery applications.

    Course objective: Equip learners with the knowledge and practical skills to work on BMS for electric vehicles, solar energy storage and industrial battery packs. The curriculum can be adjusted for the learner’s electrical background and the depth of hands-on hardware training required.

    A simulation-focused path teaches modelling and control. Professional BMS hardware design also needs hands-on electronics, embedded programming, safety validation and real battery testing. High-voltage EV battery work is performed only with appropriate equipment, supervision and safety procedures.

    Module 1 — Battery Fundamentals

    Chemistry, construction and performance.

    • Battery types: lead-acid, lithium-ion, LFP and NMC
    • Primary and rechargeable batteries
    • Cell, module and pack architecture
    • Voltage, current, capacity, energy and power
    • C-rate, energy density and power density
    • Charging and discharging characteristics
    • Battery efficiency, degradation and cycle life
    Module 2 — BMS Architecture and Design

    Hardware, control and protection.

    • Purpose and functions of a BMS
    • Centralised, distributed and modular BMS architectures
    • Battery monitoring and control units
    • Cell voltage and pack current measurement
    • Temperature sensing and sensor selection
    • Contactors, fuses and pre-charge circuits
    • Overvoltage, undervoltage, overcurrent and short-circuit protection
    • Isolation monitoring and high-voltage interlocks
    Module 3 — Battery State Estimation

    Battery performance algorithms.

    • State of Charge (SoC) estimation
    • State of Health (SoH) estimation
    • State of Power (SoP)
    • Coulomb counting and voltage-based estimation
    • Open-circuit voltage methods
    • Battery equivalent-circuit models
    • Kalman filter fundamentals
    • Battery degradation and remaining useful life
    Module 4 — Cell Balancing and Thermal Management

    Battery reliability and safety.

    • Cell imbalance and its effects
    • Passive and active cell balancing
    • Battery thermal behaviour
    • Cooling and heating methods
    • Thermal runaway fundamentals
    • Temperature monitoring and safety strategies
    • Battery operating limits and derating
    Module 5 — MATLAB / Simulink Battery Modelling

    Software-based design and simulation.

    • Introduction to MATLAB and Simulink
    • Battery equivalent-circuit modelling
    • Series and parallel battery pack modelling
    • Charging and discharging simulation
    • Load profiles and power demand analysis
    • SoC estimation and BMS control logic
    • Fault-condition simulation
    • Introduction to Simscape Electrical and battery modelling libraries, subject to licence availability
    Module 6 — Embedded BMS and Communication

    Controller integration.

    • Microcontroller fundamentals
    • ADC and sensor interfacing
    • Temperature and voltage monitoring
    • BMS control logic implementation
    • CAN bus and UART communication
    • Introduction to automotive communication and diagnostics
    • Data logging and fault alerts
    • Firmware testing and debugging
    Module 7 — BMS Applications

    EV, solar and energy storage.

    • EV battery packs and powertrain integration
    • Battery charging systems and charging limits
    • Solar PV and battery storage integration
    • UPS and industrial energy storage
    • Battery Energy Storage Systems (BESS)
    • Battery monitoring and remote diagnostics
    • Energy management and operating profiles
    Module 8 — Battery Testing, Validation and Safety

    Engineering verification.

    • Capacity and performance testing
    • Charge/discharge cycle testing
    • Sensor calibration and measurement accuracy
    • Fault diagnosis and event logging
    • Protection system verification
    • Battery handling, storage and emergency response
    • Introduction to relevant battery and automotive safety standards
    Module 9 — Digital Twin and Advanced Simulation

    Virtual validation before prototyping.

    • Virtual battery pack modelling
    • Battery behaviour under different loads
    • Simulated faults and abnormal operating conditions
    • Virtual testing of BMS algorithms
    • Comparison of simulation with measured data
    • Introduction to predictive maintenance
    • AI/ML applications for battery health prediction
    Practical projects
    Project 1 — Smart Battery Monitoring System

    Measure voltage, current and temperature, display readings and implement basic warning alerts.

    Project 2 — MATLAB/Simulink BMS Digital Twin

    Simulate a battery pack, estimate SoC and study performance under changing load conditions.

    Project 3 — Cell Balancing and Protection

    Model cell imbalance, develop balancing logic and test protection behaviour in simulation.

    Project 4 — Solar Battery Energy Storage

    Study solar generation, battery charging, load demand and energy storage management.

    Recommended course duration
    Training component Suggested hours
    Battery fundamentals and BMS architecture12
    State estimation, balancing and thermal management12
    MATLAB/Simulink and battery modelling16
    Embedded systems and communication12
    EV, solar and BESS applications8
    Testing, safety and validation8
    Capstone project12
    Total80 hours
    Expected learning outcomes
    • Explain battery technologies and BMS architecture.
    • Understand cell monitoring, balancing and protection.
    • Develop basic battery models and BMS algorithms in MATLAB/Simulink.
    • Analyse battery behaviour under different load conditions.
    • Understand BMS integration with EVs, solar systems and energy storage.
    • Build and demonstrate a suitable simulation or low-voltage prototype project.
  • 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

Across every course

Seminars, workshops and faculty development

The same formats sit on any RIA subject. Name the course and the room — a faculty programme, a seminar, a workshop, an internship, or help with a project.

See how a session is arranged
Go To Top