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Grenoble, Auvergne-Rhône-Alpes, France
Onsite
As a Senior Battery Pack System Simulation Engineer, you are responsible for developing and maintaining system-level battery pack models to support battery pack development across all applications, including automotive.
You build and integrate surrogate/reduced-order models in close collaboration with the CAE engineers covering electrical, electrochemical, thermal, mechanical, durability, control, safety, and optimization aspects of battery pack systems.
You own your surrogate/equivalent-circuit/reduced-order model requirements and the associated parameter identification and validation workflows, in close collaboration with the CAE engineers and with support from BMS, testing, and validation engineers.
You provide simulation-based insight to support architecture trade-offs, control development, performance prediction, lifetime assessment, and safety-oriented engineering decisions.
This role is part of the CAE & Advanced Methods Group and supports the Battery Pack and System Group with system-level simulation evidence for pack architecture justification, optimization, root-cause analysis, and with control-oriented simulations for BMS/BTMS calibration, validation, robustness and verification.
1. 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
2. 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.
3. 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.
4. 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.
Master's degree (Bac+5) or PhD in Electrical Engineering, Systems Engineering, Control Engineering, Mechanical Engineering, or equivalent.
Specialized knowledge in system control design and state estimation algorithms (KF, MHE, ML, empirical, …), Li-ion battery cells and packs, BMS and BTMS, MiL, SiL.
5 years of experience minimum in battery or other electrified system simulation (automotive OEMs/Tier 1 suppliers preferred), including state estimation and control, with demonstrated technical track record and model development/maintenance ownership.
Proficiency in system simulation tools (Simulink, Simscape/Modelica, Ansys Twin Builder, Amesim, …) and scientific coding (Python, Matlab).
Experience in surrogate and reduced-order modelling, including model building, calibration, and validation.
Experience in multi-domain system model integration and model-based system design.
Experience in multi-objective optimization (trade-offs, pareto front, etc.), statistical analysis (error propagation, uncertainty quantification, robustness, etc.), and other study scenarios.
Familiar with electrochemical engineering, battery chemistries (NMC, LFP, ...), thermal engineering, and battery durability.
Familiar with battery safety and system fault scenarios.
Proficiency in English / French is a plus.