Battery Life Modeling Engineer – P2D/P4D & Degradation

Ford Energy; Dearborn (MI); Hybrid; USD 74,000 - 166,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Vehicle discount program for employees

Tuition assistance

Paid time off

Holidays

Job summary

Ford Energy, a Ford Motor Company subsidiary, is seeking a Battery Cell Simulation Engineer in Dearborn, MI. The role focuses on developing physics-based models to understand cell degradation and translate results into system-level life predictions for BESS.

The job requires 3+ years of battery modeling experience (MS) or 5+ years (BS), with expertise in P2D/P4D models and strong programming skills in Python/MATLAB. Hybrid onsite work is expected.

Qualifications

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

Responsibilities

• Develop high-fidelity electrochemical models (P2D/P4D) for battery cells and reduced-order models for system integration.
• Simulate reaction kinetics, transport phenomena, lithium concentration gradients, and overpotential.
• Translate cell-level outputs into system-level life predictions for BESS.
• Calibrate and validate models with cycling, aging, EIS, rate capability, and thermal data.

Skills

Electrochemical modeling

Battery modeling

Lithium-ion fundamentals

Education

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

Tools

COMSOL Multiphysics

Python

MATLAB

Job description

Ford Energy, a Ford Motor Company subsidiary, is seeking a Battery Cell Simulation Engineer in Dearborn, MI. The role focuses on developing physics-based models to understand cell degradation and translate results into system-level life predictions for BESS.

The job requires 3+ years of battery modeling experience (MS) or 5+ years (BS), with expertise in P2D/P4D models and strong programming skills in Python/MATLAB. Hybrid onsite work is expected.