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Course Outline
Battery Modeling for BMS
- Open-circuit voltage and SoC relationships
- Equivalent-circuit models (Thevenin and RC networks)
- Temperature-dependent and aging-dependent behavior
- Parameter identification and model updating
State Estimation
- Coulomb counting and its limitations
- Model-based SoC estimation
- Internal resistance and power capability estimation
- Fundamentals of observer-based battery monitoring
State of Health and Aging
- Capacity fade and resistance growth
- How degradation impacts energy and power limits
- Incorporating aging into BMS decision-making
Power and Thermal Management
- Charge and discharge power limits
- Temperature-dependent operating envelopes
- Thermal-electrical coupling in battery packs
Cell Balancing and Pack Control
- Passive and active balancing methods
- Cell-to-cell mismatch and its impact on usable energy
- Pack-level vs cell-level control strategies
Fault Detection and Safety
- Over-voltage, under-voltage, and over-temperature protection
- Sensor faults and diagnostic strategies
- Isolation, shutdown, and safe-state operation
Modeling and Simulation
Participants will use MATLAB/Simulink to explore and visualize BMS behavior, including:
- Battery equivalent-circuit models
- SoC and SoH estimation algorithms
- Temperature-dependent limits
- Cell imbalance and balancing logic
- Fault injection and system response
These tools allow participants to see how a real BMS predicts internal battery state and makes control decisions before hardware is ever built.