Senior Battery Cell Modeling Scientist - Simulation
AI Summary
Senior Battery Cell Modeling Scientist - Simulation builds physical and data-driven cell models to predict Li-ion and Li-metal battery performance, designs experiments for parameter extraction, and collaborates cross-functionally to deploy, test, and maintain models.
About this role
Senior Battery Cell Modeling Scientist - Simulation
Responsibilities
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Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior
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Design and advance experiments to obtain parameters/data required to build cell models
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Work with cross-functional teams to develop, deploy, test, and maintain models
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The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model
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Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling
- Provide documentation related to model and algorithm development
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Work with the battery team to determine and achieve battery performance life goals
Qualifications
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Master’s degree or above, more than 5 years of battery related research/work experience
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Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment
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Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)
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Experience in building data-driven models (statistical analysis, machine learning, AI)
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Proficient in code development tools, such as Python or Matlab
Skills
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