F

Ford Motor Company

Builds vehicles for drivers and commercial fleets

Battery Life Model Development and Analysis Engineer

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeDearborn, MI, USA

About the Job

Requirements

  • A bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Physics, or a related field is required.
  • At least 3 years of experience with a master's degree, or at least 5 years with a bachelor's degree, in battery modeling or related fields is required.
  • Strong expertise in electrochemical modeling (P2D or equivalent) and lithium-ion battery fundamentals is required.
  • Familiarity with system-level battery life modeling for battery energy storage systems or electric vehicles and warranty or lifecycle analysis is preferred.
  • Understanding of thermal-electrochemical coupling and battery cell manufacturing effects is preferred.
  • Experience with COMSOL Multiphysics or an equivalent simulation tool is preferred.
  • Experience with Python and MATLAB is preferred.
  • Strong knowledge of electrochemical systems and transport phenomena, battery degradation mechanisms, and thermal effects in battery cells is preferred.

Responsibilities

  • 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, state-of-charge-dependent performance, and rate limitations under different conditions.
  • 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, state-of-charge window, and cycling conditions.
  • Support cell design trade-offs and degradation mitigation strategies.
  • 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.
  • Incorporate manufacturing-induced variations into cell models, including electrode thickness and loading variation, porosity and density variation from calendaring, and microstructural heterogeneity.
  • Evaluate the 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.
  • Translate cell-level model outputs into system-level inputs for battery energy storage system 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 computer-aided engineering teams to ensure consistent model integration and proper scaling from cell to pack to system.
  • Provide modeling inputs for warranty projections, including capacity retention, degradation limits, and performance degradation over service life.
  • Support evaluation of battery energy storage system augmentation strategies, such as module replacement and capacity add-back, and trade-offs between degradation, performance, and cost.
  • Enable data-driven decisions on lifecycle management and total cost of ownership.
  • Calibrate models using experimental data, including cycling and aging tests, electrochemical impedance spectroscopy, rate capability, and thermal data.
  • Validate performance and degradation predictions against test data.
  • Conduct sensitivity analysis, parameter estimation, and uncertainty quantification.
  • Work closely with the Ford Battery Modeling Team and battery energy storage system and controls teams.
  • Support external suppliers with model alignment and parameterization.
  • Translate detailed electrochemical insights into system-level engineering decisions.

Desired Qualifications

  • A master's or PhD in a relevant discipline.

About the Company

Ford Motor Company

Builds vehicles for drivers and commercial fleets

Ford Motor Company designs and builds vehicles for individual drivers and commercial fleets worldwide, spanning Ford trucks and SUVs and Lincoln luxury models. Its Mustang sports car and Bronco off-road vehicles sit alongside gasoline, hybrid and electric products. The company sells vehicles, parts and accessories through dealers, while Ford Pro combines commercial vehicles with fleet software, charging and maintenance services; Ford Credit earns money from customer and dealer financing and leases. Connected services add subscriptions for vehicle features and business operations. Founded by Henry Ford in 1903, the company is headquartered in Dearborn, Michigan.

Company size
10,001+
Company stage
IPO
Headquarters
Dearborn, MI
Founded
1903

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