Inferensys

Glossary

Battery Management System (BMS)

An embedded electronic control unit that monitors cell voltages and temperatures to ensure safe operation, balancing, and thermal management of a lithium-ion battery pack.
Operations room with a large monitor wall for system visibility and control.
EMBEDDED CONTROL UNIT

What is Battery Management System (BMS)?

An embedded electronic control unit that monitors cell voltages and temperatures to ensure safe operation, balancing, and thermal management of a lithium-ion battery pack.

A Battery Management System (BMS) is an embedded electronic control unit that continuously monitors cell-level voltage, current, and temperature to enforce the Safe Operating Area (SOA) of a lithium-ion battery pack. It protects against overcharge, over-discharge, and thermal runaway by dynamically controlling contactors and managing cell balancing circuits.

The BMS calculates critical state variables including State of Charge (SoC) and State of Health (SoH) using coulomb counting and voltage-based estimation algorithms. It interfaces with the Electric Vehicle Supply Equipment (EVSE) and thermal management subsystems to regulate C-Rate limits, ensuring longevity and safe bidirectional power flow in Vehicle-to-Grid (V2G) applications.

BATTERY MANAGEMENT SYSTEM

Core Functions of a BMS

A Battery Management System (BMS) is an embedded electronic control unit that safeguards lithium-ion battery packs by continuously monitoring cell-level parameters and executing protective actions. Below are its essential operational functions.

01

Cell Voltage Monitoring & Protection

The BMS continuously measures the voltage of every individual cell in a series string using precision analog-to-digital converters. It enforces strict over-voltage and under-voltage thresholds to prevent lithium plating and copper dissolution, respectively.

  • Over-Voltage Protection: Triggers at ~4.25V per cell for NMC chemistry to halt charging
  • Under-Voltage Protection: Disconnects load at ~2.5V to prevent permanent capacity loss
  • Accuracy: Typical measurement error is ±5mV across the full operating range
±5mV
Measurement Accuracy
02

Thermal Management

The BMS reads multiple thermistors placed strategically across the pack to build a thermal map. It controls cooling pumps, fans, or heaters to maintain cells within a safe operating window, typically 15°C to 35°C.

  • Low-Temperature Cutoff: Prevents charging below 0°C to avoid metallic lithium dendrite formation
  • High-Temperature Derating: Reduces maximum current draw as the pack approaches 45°C
  • Thermal Runaway Detection: Monitors for abnormal temperature gradients exceeding 5°C/sec
15°C–35°C
Optimal Operating Range
03

State Estimation Algorithms

The BMS runs embedded algorithms to calculate the State of Charge (SoC) and State of Health (SoH). These are not directly measurable and must be inferred from voltage, current, and temperature data.

  • Coulomb Counting: Integrates current over time, corrected by periodic voltage-based resets
  • Kalman Filtering: Fuses a dynamic cell model with noisy sensor readings for robust SoC estimation
  • SoH Calculation: Tracks capacity fade and internal resistance growth by comparing current performance against the cell's beginning-of-life parameters
04

Cell Balancing

Manufacturing tolerances and thermal gradients cause cells in a series string to diverge in voltage over time. The BMS corrects this imbalance to maximize usable pack capacity.

  • Passive Balancing: Bleeds excess energy from high-voltage cells through a resistor as heat; typical current is 50–200mA
  • Active Balancing: Shuttles charge from high cells to low cells using switched capacitors or DC-DC converters; achieves >90% efficiency
  • Balancing Trigger: Usually enabled only when SoC exceeds 80% and cell voltage delta exceeds 10mV
05

Fault Detection & Isolation

The BMS performs continuous diagnostics on sensors, contactors, and isolation resistance. Upon detecting a critical fault, it executes a sequenced shutdown.

  • Isolation Monitoring: Injects a known signal to measure resistance between the high-voltage bus and chassis ground; must exceed 500 Ω/V per ISO 6469-3
  • Contactor Weld Detection: Verifies that main relays have physically opened before declaring the system safe
  • Interlock Loop: Monitors a 12V safety loop through all high-voltage connectors; any break triggers an immediate contactor opening
06

Communication & Data Logging

The BMS serves as the battery's gateway, broadcasting critical parameters to the vehicle controller or charging station over Controller Area Network (CAN) bus.

  • CAN Broadcasting: Transmits SoC, maximum charge/discharge limits, and fault codes at 100ms intervals
  • Event Logging: Stores a freeze-frame of all sensor data when a fault occurs for post-mortem analysis
  • Charger Handshake: Communicates the battery's voltage and current limits to the EVSE via pilot signal or digital protocol (e.g., ISO 15118)
BMS ESSENTIALS

Frequently Asked Questions

Clear, technically precise answers to the most common questions about the embedded systems that safeguard and optimize lithium-ion battery packs.

A Battery Management System (BMS) is an embedded electronic control unit that monitors cell voltages, temperatures, and current to ensure the safe operation, balancing, and thermal management of a lithium-ion battery pack. It functions as the battery's intelligent gatekeeper, executing real-time algorithms on a microcontroller to prevent operation outside the Safe Operating Area (SOA) . The BMS continuously samples individual cell voltages through an Analog Front-End (AFE) integrated circuit, measures pack current via a shunt resistor or Hall-effect sensor, and reads thermistor values for thermal mapping. Based on this data, it calculates the State of Charge (SoC) using Coulomb counting and voltage-based correction, estimates the State of Health (SoH) by tracking internal resistance growth, and enforces limits by opening contactors or commanding derated power. The system communicates these parameters to the vehicle controller or charger over a Controller Area Network (CAN) bus, effectively bridging the raw electrochemical cell with the application's power demands.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.