Battery Life Model Development and Analysis Engineer, Ford Energy

Ford Motor

Dearborn (MI)

Hybrid

USD 74,000 - 166,000

Full time

12 days ago

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Benefits offered by this job

Vehicle discount program

Tuition assistance

Paid time off

Job summary

Ford Energy is seeking a Battery Cell Simulation Engineer to develop electrochemical models (P2D/P4D) and link cell life to BESS system performance. You will calibrate against cycling and aging data, quantify degradation, and support warranty and lifecycle decisions.

The role requires a strong background in electrochemical modeling, battery fundamentals, and cross-functional collaboration with Ford teams. Hybrid travel across the U.S. may be required.

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 cell performance and degradation.
Create physics-based life predictions and interface with BESS system models.
Calibrate models with experimental data and validate predictions against test results.
Collaborate with Ford Battery Modeling Team and CAE teams to ensure proper model integration.

Skills

Electrochemical modeling

Battery modeling

Multiphysics

Python

MATLAB

COMSOL

Education

Bachelor's degree in Chemical Eng./Mechanical Eng./Materials Science/Physics or related field

5+ years experience in BS; MS 3+ years preferred

Master's or PhD in relevant discipline

Tools

COMSOL Multiphysics

Python

MATLAB

Job description

Description

Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. Leveraging Ford’s century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems. We are not just building batteries; we are building the infrastructure for the next generation of the American grid.

Why Ford Energy? At Ford Energy, you have the backing of an industrial manufacturing powerhouse with the agility of a dedicated energy startup offering industry leading technology. We offer a competitive compensation package including performance-based bonuses, Ford vehicle discounts, and the opportunity to shape the energy strategy of one of the world's most iconic brands. Learn more at https://fordenergy.com.

In this position...

The Battery Cell Simulation Engineer is responsible for developing and applying advanced electrochemical models (P2D/P4D) to understand battery cell performance, degradation, and lifetime behavior, with direct linkage to system-level life prediction for Battery Energy Storage Systems (BESS). This role builds physics-based cell models to quantify degradation mechanisms and translate them into system-level life simulation inputs, enabling accurate warranty estimation and augmentation strategies. The position acts as a key bridge between cell-level electrochemistry and BESS system performance, supporting data-driven decisions on durability, reliability, and lifecycle cost optimization.

Responsibilities

What you'll do...

Electrochemical Modeling (Primary Focus)
- Develop and apply high-fidelity electrochemical models, including P2D/P4D lithium-ion battery models and reduced-order models for system integration.
- Simulate reaction kinetics and transport phenomena, lithium concentration gradients and overpotential, and internal current density and utilization distribution.
- Evaluate cell capability limits, including power and energy capability, SOC-dependent performance, and rate limitations under different conditions.
Cell-Level Life & Degradation Modeling
- Develop physics-based models to predict cell degradation, including SEI growth and side reactions, lithium plating risk and conditions, and loss of active material and impedance growth.
- Quantify capacity fade and resistance increase over life, and sensitivity to temperature, SOC window, and cycling conditions.
- Support cell design trade-offs and degradation mitigation strategies.
Thermal-Electrochemical Coupling
- Develop coupled electrochemical-thermal models, including heat generation from electrochemical reactions and temperature-dependent kinetics and degradation.
- Analyze cell temperature gradients and hot spots, and thermal impact on performance and aging.
- Provide heat generation and degradation sensitivity inputs for system-level modeling.
Manufacturing Variation & Cell Behavior
- Incorporate manufacturing-induced variations into cell models, including electrode thickness and loading variation, porosity and density variation from calendaring, and microstructural heterogeneity.
- Evaluate impact of process variation on performance distribution, and manufacturing defects on degradation and life.
- Support translation of modeling insights into process control targets and cell consistency and quality improvements.
System-Level Life Modeling Interface (BESS Integration)
- Translate cell-level model outputs into system-level inputs for BESS simulations, including degradation rates under varying duty cycles and temperature and usage sensitivities.
- Support development of system-level life prediction models and duty cycle-based aging simulations.
- Collaborate with system and CAE teams to ensure consistent model integration and proper scaling from cell to pack to system.
Warranty Estimation & Augmentation Strategy Support
- Provide modeling inputs for warranty projections (capacity retention, degradation limits) and performance degradation over service life.
- Support evaluation of BESS augmentation strategies (e.g., module replacement, capacity add-back) and trade-offs between degradation, performance, and cost.
- Enable data-driven decisions on lifecycle management and total cost of ownership (TCO).
Model Calibration & Validation
- Calibrate models using experimental data, including cycling and aging tests, and EIS, rate capability, and thermal data.
- Validate performance and degradation predictions vs. test data.
- Conduct sensitivity analysis, parameter estimation, and uncertainty quantification.
Cross-Functional Collaboration
- Work closely with the Ford Battery Modeling Team and BESS system and controls teams.
- Support external suppliers with model alignment and parameterization.
- Translate detailed electrochemical insights into system-level engineering decisions.

Qualifications

You’ll have...

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.

Even Better, you may have...

Master's or PhD in relevant discipline.
Experience with P2D/P4D electrochemical models and battery degradation and life modeling.
Familiarity with system-level battery life modeling (BESS or EV) and warranty or lifecycle analysis.
Understanding of thermal-electrochemical coupling and battery cell manufacturing effects.
Technical Skills
- Simulation tools: COMSOL Multiphysics or equivalent.
- Programming: Python, MATLAB.
- Strong knowledge of electrochemical systems and transport phenomena, battery degradation mechanisms, and thermal effects in battery cells.
Key Competencies
- Electrochemical Modeling Depth — expertise in P2D/P4D and physical interpretation.
- Degradation & Life Prediction — strong understanding of aging mechanisms and lifetime modeling.
- Cell-to-System Translation — ability to convert cell physics into system-level life predictions.
- Multiphysics Integration — electrochemical-thermal coupling capability.
- Analytical Problem Solving — identifies drivers of degradation and performance variation.
- Collaboration — works across cell, system, and CAE teams.
- Communication — translates complex models into actionable insights.
Location & Travel
- Location: Dearborn, MI

Benefits

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.

Salary

This position is a salary grade 6 and ranges from $74,300-$124,500.

This position is a salary grade 7 and ranges from $86,600-$144,900.

This position is a salary grade 8 and ranges from $99,100-$166,200.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Other Compensation and Benefits

For more information on salary and benefits, https://fordcareers.co/GSR

Visa Sponsorship

Visa sponsorship is not available for this position.