2025040 Senior Battery Management System Controls Engineer

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

 

John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

 

Primary Location: United States (US) – IL - Moline

Function: Technology

Title: Senior Battery Management System Controls Engineer - 2025040

Onsite/Remote: Remote Position

 

Your Responsibilities

 

As a Senior Battery Management System Controls Engineer for John Deere in Moline, IL, you will:

 

• Lead the design, development, and model-based implementation of battery management system algorithms including state of charge (SOC), state of power (SOP), state of health (SOH), balancing, state machine, charging, thermal management, diagnostics, and safety functions, etc.;
• Lead the integration of model-based battery management system algorithm software code to the rest of the embedded system hand-coded software;
• Lead battery management system algorithm tuning based on application requirements as well as algorithm verification & validation efforts;
• Interface with battery testing team to design relevant software-in-loop, hardware-in-loop and hardware tests;
• Interface with battery modeling team to create model-in-loop simulation for virtual testing of battery management system algorithms as well as to support higher level system simulation (e.g. drivetrain simulation or vehicle simulation);
• Lead the exploration of advanced battery management system algorithms (e.g. SOH estimation using machine learning methods) with deep theoretical understanding;
• Create algorithm design, flow chart, tuning, verification & validation, and associated documentation;
• Interface with battery systems & applications teams to ensure proper battery management features are developed in support of expected battery functionality, performance, safety, and compliance.
• Up to 15% domestic and international travel required. Can live anywhere in the U.S. Up to 100% remote work allowed.

 

What Skills You Need

 

• 3 years of experience in developing and implementing state estimation, parameter estimation, and control techniques such as Extended Kalman Filter, Least Squares Regression, Neural Network, or Optimal Control
• 3 years of experience in developing algorithms for battery management system applications such as State of Charge, State of Health, State of Power, Charging, Diagnostics, Balancing or Thermal Estimation
• 2 years of experience in developing and simulating controls-oriented battery models such as electrical, thermal, and aging models for battery algorithms
• 3 years of experience in designing tests for battery algorithm development, parameter tuning, and verification & validation using battery test equipment such as cyclers, environ