Training on Battery Management Systems

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)
