Battery Modeling and Algorithm Engineer

Quick Facts

• Role: Battery Modeling and Algorithm Engineer

Description

Develop battery physics-based models and machine learning algorithms to optimize battery performance, including battery aging and fast-charge behavior. Build mathematical representations of electrochemical behavior and aging mechanisms, and create computationally efficient models for use in simulation and in-system implementation. Partner with battery pack engineers to verify accuracy and performance for new cell designs.

Responsibilities

• Mathematical modeling of lithium-ion electrochemical behavior using PDEs or ODEs

• Model battery aging mechanisms with physics-based and machine learning models

• Create computationally efficient models for in-system implementation

• Develop fast charge algorithms while accounting for battery aging

• Verify model accuracy and simulation performance with battery engineering groups

• Investigate design/performance issues, prepare status reports, and help resolve problems

• Serve as a technical contact for electrochemical and aging modeling, control algorithms, ML algorithms, and related software techniques

Requirements

• MS degree

• Experience in electrochemical processes and performance/safety characterization

• Experience in physics-aware machine learning modeling and algorithms

• Experience with ML-based optimization techniques such as generic algorithms and gradient-based ML algorithms

Benefits

• Contribute to inventing and deploying new battery technologies that deliver more energy in smaller spaces

• Collaborate across product development groups to push industry boundaries and improve customer product experience