Battery Cell Modeling Engineer (P2D/P4D) & Life Prediction

Ford Energy; Dearborn (MI); Hybrid; USD 86,000 - 140,000; Full time

Job summary

Ford Energy in Dearborn, MI is seeking a Battery Cell Simulation Engineer to develop physics-based cell models (P2D/P4D) and translate them into system-level life inputs for BESS. You will quantify degradation, couple electrochemical with thermal effects, and influence warranty strategies.

You will collaborate with the Ford Battery Modeling Team and CAE groups, calibrate models with cycling data, and translate insights into actionable design targets for reliable, US-built energy storage systems.

Qualifications

• Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Physics, or related field.
• 3+ years (MS) or 5+ years (BS) of experience in battery modeling or related fields.
• Strong expertise in electrochemical modeling (P2D or equivalent) and lithium-ion battery fundamentals.

Responsibilities

• Develop and apply high-fidelity electrochemical models (P2D/P4D) for battery cells.
• Translate cell models to system-level life inputs for BESS simulations.
• Assess degradation mechanisms and life prediction under varying conditions.
• Incorporate manufacturing variations into cell models.
• Collaborate with BESS system and CAE teams for model integration.
• Calibrate models with experimental cycling, aging, EIS data.
• Support warranty estimation and augmentation strategies.

Skills

Electrochemical modeling

Battery degradation

System-level life modeling

Python

COMSOL

Education

Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Physics, or related field

Tools

COMSOL Multiphysics

Python

MATLAB

Job description

Ford Energy in Dearborn, MI is seeking a Battery Cell Simulation Engineer to develop physics-based cell models (P2D/P4D) and translate them into system-level life inputs for BESS. You will quantify degradation, couple electrochemical with thermal effects, and influence warranty strategies.

You will collaborate with the Ford Battery Modeling Team and CAE groups, calibrate models with cycling data, and translate insights into actionable design targets for reliable, US-built energy storage systems.