Job Location: Auburn Hills, MI
The Battery State Estimation Data Engineer will support battery testing, validation, and development activities related to the family of next generation xEV powertrains and batteries. The candidate will perform tasks in analyzing, mining, processing, and tracking the increasing amount of battery and cell test data generated during product development, testing, and validation. This includes data for cell/battery model development such as equivalent circuit modeling, and validation data of battery state estimation algorithms. The candidate will be involved in multiple vehicle programs to deal with a broad range of data, i.e., cell level, pack-level, vehicle-level, and fleet-level.
Responsibilities include but not limited to:
Process and analyze battery data such as battery/cell performance data, drive cycle testing, capacity/energy tests, cell characterization tests (HPPC, OCV), and battery state estimation SOx validation for state-charge (SOC), state-of-power (SOP) limits, and battery state of health (SOH) estimation
Support data regression, statistical analysis, and parameter fitting functions related to battery/cell data, voltage/temperature response modes, and age modeling
Perform target deep-dive analysis of (historical) battery data to support root-cause analysis of battery state estimation related issues
Deliver reports to department Engineers on battery test and analysis activities
Generate automated graphical test reports to support validation, analysis, and verification of battery software functions such as battery state estimation, cell balancing, and sensor measurement processing
Coordinate with various test labs for characterization and validation testing activities
Provide as needed battery data analysis/processing/simulations to support production program design release activities
Process SOx Validation data from Model-in-the-loop (MIL), Hardware-in-Loop (HIL), Pack and Vehicle level testing
Perform as needed data collection activities using software tools such as CANalyzer, INCA, and Matlab
Basic Qualifications:
Bachelors in Electrical/Computer/Software Engineering or Computer Science with a minimum of 3 years of relevant experience
Two years of experience in data analysis/processing/mining
Knowledge of parameter fitting, optimization, and data regression methods
Working knowledge of Battery Management Systems
Excellent Matlab scripting skills or other languages e.g., Octave, Python
Effective graphical presentation, interpersonal, and time management skills to engage development and testing teams/personnel
Preferred Qualifications:
Master of Applied Science in Electrical/Control/Computer/Software Engineering, Masters in Computer Science, or related discipline with Battery Management System experience at a nationally accredited institution
Prior experience with of battery management systems mechatronics and software functions, battery/cell modeling and characterization methods
General knowledge of xEV vehicle and powertrains
Expertise in statistical analysis, signal processing, simulations, regression, optimization, machine learning, big data analysis
Prior experience with battery/cell lab test equipment and xEV vehicle testing and DVP&R procedures
Knowledge of battery algorithms such as estimation of State-Of-Charge, State-Of-Health (resistance/capacity), and State-Of-Power availability
Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
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