Fundamentals of Battery Management Systems

A Battery Management System (BMS) is the central intelligence of every energy storage system. While battery cells store energy, the BMS determines how safely, efficiently, and reliably that energy can be used.

This course provides a practical, engineering-level introduction to how modern BMS architectures work, from battery modeling and state estimation to fault detection, cell balancing, and lifetime management. Participants will learn how electrical, thermal, and aging effects are incorporated into BMS algorithms and implemented in real battery packs.

Using MATLAB/Simulink-based modeling and simulation, participants will explore how BMS software monitors battery state, predicts available energy and power, and enforces safety limits under real-world operating conditions.

Learning Outcomes:

  • Explain the role of the BMS in maintaining battery safety, performance, and lifetime
  • Understand how equivalent-circuit battery models are used to represent real cell behavior
  • Estimate state of charge (SoC), state of health (SoH), and available power
  • Understand how temperature, aging, and cell imbalance affect BMS decisions
  • Evaluate cell balancing strategies and their impact on pack performance
  • Identify and respond to fault conditions such as over-voltage, over-temperature, and sensor failure
  • Analyze how BMS software interacts with chargers, inverters, and vehicle controllers

Who Should Attend:

This course is designed for engineers, scientists, and technical professionals involved in:

  • Electric vehicles and electrified powertrains
  • Energy storage systems
  • Battery pack design and integration
  • Power electronics and control systems
  • Battery testing, safety, and validation

It is ideal for those who already understand basic battery concepts and want to gain deeper insight into how batteries are actually managed and controlled in real systems.

Date
Format
ID
Fee
 
 Mar 23-26, 2026
Live Online
ID: E019
Fee: $1,795

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