
Sr. Systems Modeling Engineer, HV Battery
- Newark, CA
- $140,000-192,500 per year
- Permanent
- Full-time
- Be part of a passionate and highly driven team of multi-disciplinary engineers
- Develop system models and optimization tools to assess battery and power electronics electrical and thermal performance under different usage scenarios
- Develop and expand existing simulation tools to drive control strategy development for charging and high-performance driving scenarios.
- Couple the effects of different systems required for charging, including HVAC, AUX loads and charging infrastructure
- Collaborate cross functionally to determine best strategies to achieve accurate and reliable SOX estimations, high power discharge/charge performance, maximum efficiency and thermal capability.
- Work closely with the testing team to develop and document experiments to validate electrical and thermal system models
- Support in the derivation of HV system requirements, attributes and duty cycles
- Support in the development of performance verification plans
- Utilize fleet data analysis tools to understand real-world usage scenarios to drive continuous improvements
- Fundamental understanding of physics governing HV battery systems
- Knowledge of modeling techniques used to simulate lithium-ion cells, battery packs, and thermal systems
- 2-5 years of experience using modeling and simulation tools like MATLAB, Simulink, Python and other specialized tools
- Experience in developing plant models used for battery control algorithms simulation and verification
- Understanding of algorithm design, optimization, and verification
- Experience in scripting simulation workflows
- Capability of processing and documenting results in a concise and elegant fashion to successfully communicate information to the team and other departments
- Ownership mindset, enthusiasm, and a collaborative spirit
- Proficiency in using other data tools such as Grafana, Tableau, etc.
- Experience with HIL (Hardware in the Loop) and SIL (Software in the loop) testing
- Experience with developing control algorithms applied in battery management system
- In-depth understanding of battery technology and simulation techniques
- Good mathematical knowledge and experience in statistical analysis, optimization
- Knowledge of HVAC systems and how to model them
- Strong understanding of the interactions between the battery system and other vehicle subsystems
- Good knowledge of vehicle dynamics
- Experience with revision control tools, such as git/svn