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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.
Course Schedule
Registration Date/Time:
3/23/2026 8:0am Central Time
Event Dates/Times:
- 3/23/2026 8:30am - 12:30pm Central Time
- 3/24/2026 8:30am - 12:30pm Central Time
- 3/25/2026 8:30am - 12:30pm Central Time
- 3/26/2026 8:30am - 12:30pm Central Time
Instructors and Program Director
Instructors
Ahmad Khan
Awad Ali Syed
Engineering Group Manager - General Motors
Awad Ali Syed is a senior engineering leader with over 15 years of experience in battery systems, systems integration, embedded controls, functional safety, and electric vehicle (EV) technologies. He currently serves as an Engineering Group Manager at General Motors.
Prior to this, Awad held engineering leadership roles at Freudenberg EPower Systems, Our Next Energy, and Fiat Chrysler Automobiles, where he managed system architecture, BMS development across xEV platforms, clean-sheet software development, and led global functional safety initiatives. His earlier roles at Robert Bosch Battery Systems and General Motors (via iGATE) focused on diagnostic algorithm development, model-based design, and HiL validation for high-voltage battery systems.
Awad holds a Master of Science in Electrical Engineering from The Ohio State University, with a specialization in power electronics and control systems. His technical interests include model-based systems engineering (MBSE), battery diagnostics, safety-critical software, and scalable integration frameworks for next-generation mobility platforms.
Program Director
Ahmad Khan
Additional Information
Includes 4 mini-projects to reinforce learning. MATLAB/Simulink tools provided.