Battery Management System | EV Fundamentals | Skill-Lync Resources

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Lesson 5 of 13 15 min

Battery Management System (BMS)

The Battery Management System (BMS) is the electronic brain of an EV battery pack. It monitors every cell, prevents dangerous conditions, estimates state of charge, and ensures the pack operates safely throughout its life.

A well-designed BMS can extend battery life by 2-3× compared to unmanaged charging/discharging.

BMS Functions

Click on BMS blocks to explore their functions. See how data flows from sensors to actuators.

1. Cell Monitoring

  • Voltage: Each cell monitored to ±2mV accuracy
  • Temperature: NTC thermistors every 5-10 cells
  • Current: Hall sensor or shunt resistor (±0.5%)

2. State Estimation

  • SOC: State of Charge (0-100%)
  • SOH: State of Health (capacity fade)
  • SOP: State of Power (available power)

3. Cell Balancing

  • Equalize cell voltages across the pack
  • Prevent weakest cell from limiting pack

4. Protection

  • Over-voltage protection (OVP)
  • Under-voltage protection (UVP)
  • Over-temperature protection (OTP)
  • Over-current protection (OCP)
  • Short circuit protection

5. Communication

  • CAN bus to vehicle ECU
  • Report SOC, warnings, limits
  • Receive charge/discharge commands

BMS Architecture

Distributed BMS

  • Module-level slave boards (AFE + MCU)
  • Master controller aggregates data
  • Isolated communication between slaves
  • Common in automotive applications

Centralized BMS

  • Single board monitors all cells
  • Simpler, lower cost
  • Limited scalability
  • Used in small packs (two-wheelers)

Key IC Components

ComponentFunctionExample ICs
AFEAnalog Front End - measures voltage, currentBQ76952, LTC6813
BalancingCell balancing switchesInternal to AFE
MCUProcessing, algorithmsSTM32, S32K
IsolationIsolate HV from LVISO7741, ADUM3160
ContactorConnect/disconnect packHV relay driver

Cell Balancing

Drag cell voltages to create imbalance, then watch passive balancing equalize them.

Why Balancing is Needed

Even cells from the same batch have slight variations:

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  • Manufacturing tolerances (±5% capacity)
  • Temperature gradients in pack
  • Self-discharge rate differences
  • Different aging rates

Without balancing:

  • Weakest cell hits limits first
  • Pack capacity = capacity of worst cell
  • 10% cell variation → 10% less usable capacity

Passive Balancing

Method: Discharge high-voltage cells through resistor (waste energy as heat)

$$I_{balance} = \frac{V_{cell} - V_{target}}{R_{balance}}$$

$$E_{lost} = I_{balance}^2 \cdot R_{balance} \cdot t$$

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Pros:
  • Simple, low cost
  • Reliable (no active components)
  • Easy to implement
Cons:
  • Energy wasted as heat
  • Slow (10-100 mA typical)
  • Only during charging
Implementation:
def passive_balance(cells, threshold=0.02):
    min_v = min(c.voltage for c in cells)
    for cell in cells:
        if cell.voltage - min_v > threshold:
            cell.enable_balance_resistor()
        else:
            cell.disable_balance_resistor()

Active Balancing

Method: Transfer charge from high cells to low cells Topologies:
  • Capacitor-based: Switched capacitors shuttle charge
  • Inductor-based: Flyback converters transfer energy
  • Transformer-based: Multi-winding transformer
Pros:
  • Energy efficient (>90%)
  • Faster balancing
  • Works during charge and discharge
Cons:
  • Complex, expensive
  • More components to fail
  • Requires careful design

Balancing Time Calculation

For passive balancing:

$$t_{balance} = \frac{C_{cell} \cdot \Delta V}{I_{balance}}$$

Example: 50 Ah cell, 50 mV imbalance, 50 mA balance current

$$t = \frac{50 \times 0.050}{0.050} = 50 \text{ hours}$$

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Protection Functions

Over-Voltage Protection (OVP)

Trigger: Cell voltage > 4.25V (NMC) or 3.65V (LFP) Action: Stop charging immediately Risk: Lithium plating, thermal runaway

Under-Voltage Protection (UVP)

Trigger: Cell voltage < 2.5V (NMC) or 2.0V (LFP) Action: Stop discharging, open contactor Risk: Copper dissolution, permanent damage

Over-Temperature Protection (OTP)

Trigger: Cell temperature > 55°C (typical) Action: Reduce power, stop if > 60°C Risk: Accelerated aging, thermal runaway

Over-Current Protection (OCP)

Trigger: Current > rated limit (e.g., 500A) Action: Open contactor within milliseconds Risk: Cell damage, fire

Short Circuit Protection

Trigger: Current spike > 1000A (microseconds) Action: Hardware latch opens contactor Risk: Fire, explosion

Safety Architecture

Functional Safety (ISO 26262)

Automotive BMS must meet ASIL-B or ASIL-C:

  • Redundant monitoring paths
  • Watchdog timers
  • Safe state = contactors open
  • Hardware and software diagnostics

Two-Level Protection

Level 1 (Software):
  • BMS MCU monitors parameters
  • Can adjust limits dynamically
  • Logs warnings and errors
Level 2 (Hardware):
  • Independent comparator circuits
  • Cannot be disabled by software
  • Directly controls contactors

Contactor Control

Main contactor: Positive terminal Precharge contactor: Limits inrush current Auxiliary contactor: Negative terminal Sequence:
  • Close auxiliary
  • Close precharge (through resistor)
  • Wait for capacitor charge (voltage check)
  • Close main
  • Open precharge

State of Health (SOH)

SOH indicates how much capacity remains compared to new:

$$SOH = \frac{Q_{current}}{Q_{new}} \times 100\%$$

Degradation Mechanisms

  • SEI growth: Lithium consumed in side reactions
  • Lithium plating: Fast charging at low temp
  • Particle cracking: Mechanical stress in active material
  • Electrolyte decomposition: High temperature exposure

SOH Estimation Methods

1. Capacity fade:
  • Full charge/discharge cycles
  • Compare to rated capacity
2. Impedance rise:
  • Measure DC resistance
  • Higher impedance = lower SOH
3. Incremental capacity analysis:
  • dQ/dV peaks shift with aging
  • Research-grade technique

End of Life Criteria

ApplicationEOL SOH
Automotive70-80%
Two-wheeler60-70%
Stationary storage60%

CAN Communication

BMS communicates via CAN bus (typical):

Transmitted messages:
  • Pack SOC, SOH
  • Max charge/discharge current
  • Fault codes
  • Cell voltages (if requested)
Received messages:
  • Charge enable
  • Target current
  • Preconditioning request
Sample CAN frame (simplified):
ID: 0x100 (BMS Status)
Byte 0: SOC (0-100)
Byte 1-2: Pack voltage (0.1V resolution)
Byte 3-4: Pack current (signed, 0.1A)
Byte 5: Max temperature
Byte 6: Fault flags
Byte 7: Balance status

Indian Market BMS

Entry-level (Two-wheelers):
  • Centralized architecture
  • 8-16 cell monitoring
  • Passive balancing
  • Basic protection
Passenger vehicles:
  • Distributed architecture
  • 96+ cell monitoring
  • Advanced SOC algorithms
  • ISO 26262 ASIL-B
Key suppliers:
  • Indian: Grinntech, ION Energy, Celkon
  • Global: LG, Panasonic, BYD (integrated)

Key Takeaways

  • BMS monitors voltage, temperature, current for every cell
  • Cell balancing equalizes cells to maximize usable capacity
  • Passive balancing is simple but wastes energy; active is efficient but complex
  • Protection includes OVP, UVP, OTP, OCP, and short circuit
  • SOH tracks capacity fade over battery life
  • Automotive BMS must meet functional safety standards (ISO 26262)

What's Next

In the next lesson, we'll explore Electric Motors — understanding PMSM, induction motors, torque-speed characteristics, and why EVs use motors instead of engines.

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SOC Estimation