Source description
About the role
- System-Level Battery Pack Model development & Simulation
Develop and maintain multi-domain battery pack models representing electrical, electrochemical and thermal behaviors as well as pack durability, swelling and cooling loop operation and control.
Define the appropriate model fidelity and simulation approach depending on project phase, use case, and required decision timeline.
Develop and operate workflows for trade-off studies, sensitivity analysis, design of experiments, surrogate model generation, and multi-objective optimization (safety constraints, integration constraints, mass, and cost-related drivers, …)
Assess implication of control strategy and BMS/BTMS algorithms on system operation and fault scenarios (MiL, SiL).
Run simulations for normal (usage profiles, testing, thermal) and fault conditions, including cooling loss scenarios, sensor failures or drift, electrical fault conditions, thermal excursions, and safety-relevant operational limit studies.
Model and workflow standardization, automation and documentation
- Empirical & EC-Type Model Requirements, Development & Parameter Identification
Establish and own model requirements for equivalent circuit, thermal, ML, and other empirical/surrogate/reduced-order battery models for system simulation and control-oriented applications under normal and fault scenarios.
Support CAE engineers for the development, maintenance, and deployment of ECM/ROM/ML/surrogate models.
Coordinate model parameter identification with CAE, testing, and product validation engineers at the cell, module, and pack levels, including OCV and DCIR/ACIR, SOC/temperature dependencies, and aging-related parameter evolution.
Maintain model assumptions and limitations, parameter traceability, model-change traceability, validation status, applicability domain, and release and usage guidelines.
- Multi-Physics Model Integration
Integrate domain knowledge into the battery pack system models and translate high-fidelity simulation inputs into fast and decision-oriented system models in close collaboration with CAE engineers.
Develop co-simulation workflows with integrated high-fidelity models through direct coupling or using FMI/FMUs.
- BMS/BTMS Algorithm Development & Control-Oriented Support
Develop advanced state estimation (SOC, SOH, SOX) algorithms, including KF, MHE, physics-based, and machine-learning approaches and incorporate/execute in system simulation workflows.
Evaluate/recommend voltage/current/temperature limits, derating strategies, balancing impact, temperature non-uniformity, cooling system operation limits and constraints, sensor sensitivity, etc.
Contribute to Verkor's IP portfolio.
Provide simulation support to the BMS development engineer for model-based verification and validation, including estimator robustness and calibration, MiL, SiL and HiL test bench.
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