Training on Battery Management Systems (BMS)

Battery Management Systems (BMS) are essential in electric vehicles, renewable energy storage, UPS systems, data centers, and smart grid applications. This specialized training provides engineering professionals and students with comprehensive knowledge of battery technology, BMS architecture, design, safety strategies, and software algorithms used in monitoring and control.

The course focuses on practical understanding of Li-ion batteries, charging strategies, thermal management, cell balancing, SOC/SOH estimation, and protection systems that ensure reliability, performance, and longevity in advanced energy systems.


Who Should Attend?

  • Electrical engineers and diploma holders

  • Professionals working in electric vehicles, storage systems, UPS & industrial power solutions

  • Engineers involved in smart grid, renewable, battery manufacturing & R&D

  • Students interested in EV technology and embedded systems


Learning Outcomes

By the end of the course, participants will be able to:

  • Understand Lithium-based battery chemistry and selection criteria

  • Design BMS hardware architecture and choose electronic components

  • Implement algorithms for SOC, SOH & SOP estimation

  • Apply cell balancing, charging, and discharging strategies

  • Integrate BMS with vehicle systems and energy storage units

  • Identify and mitigate safety, thermal, and protection hazards

  • Analyze standards, testing procedures, and certification requirements


Topics Covered

Introduction to Battery Fundamentals

  • Battery types and characteristics (Li-ion, LFP, NMC, Solid State, etc.)

  • Charge/discharge behavior & energy density metrics

  • Battery rating: C-rate, voltage, internal resistance

BMS Architecture and Components

  • Functional blocks: sensing, control, communication, protection

  • Current, temperature, and voltage sensing technologies

  • Microcontrollers, CAN transceivers, memory units, and interface circuitry

SOC, SOH, and SOP Estimation

  • Coulomb counting method

  • Kalman filter approach

  • Open-circuit voltage method

  • Algorithms to predict aging & degradation

Battery Safety, Fault Detection & Protection

  • Thermal runaway: causes and prevention

  • Fault detection: short circuits, overcurrent, overvoltage, cell swelling

  • Isolation failures and emergency shutdown strategies

Cell Balancing Techniques

  • Passive and active balancing

  • Balancing circuits and design selection criteria

  • Balancing with CAN-based BMS systems

Charging & Discharging Strategies

  • CC-CV charging

  • Fast charging protocols

  • BMS roles in charger communication

  • Regenerative braking and charge acceptance (EV applications)

Thermal Management Systems

  • Air cooling, liquid cooling, PCM, heat pipes

  • Temperature sensors & thermal runaway protection algorithms

  • Design considerations for EV packs and large stationary systems

Industrial Communication & Integration

  • CAN, CAN FD, SPI, I2C communication with BMS

  • SCADA integration for large energy systems

  • EV integration: motor controller, charger, inverter interfaces

Standards, Testing & Certifications

  • IEC, IEEE, AIS, ISO BMS standards

  • Battery testing: cycling, stress testing, failure testing

  • Certification requirements for EVs & stationary storage systems


Career Opportunities

  • BMS Design Engineer

  • Battery Testing/Validation Engineer

  • EV Power Systems Engineer

  • Energy Storage System (ESS) Engineer

  • Embedded Firmware Engineer (BMS Domain)

  • Safety & Compliance Specialist (Battery Systems)