Researcher Ref# 430-36
Researcher, Warren, MI, General Motors. Research &dvlp stochastic, nonlinear, & Machine Learning (ML) algorithms in next gen Battery Electric Vehicle (BEV) Battery Management System (BMS) in battery to monitor battery State of Charge (SOC), Power (SOP), Energy (SOE), &Health (SOH) estimations, &advise electrification propulsion sys to improve BEV travel range. Establish optimized BMS algorithm benchmarks incl. BEV targets accord. to mechanical, thermal, electrical, driving range, capacity, safety & abuse performance reqmts, based on different chemistries &Pouch, Prismatic & Cylindrical cell configurations, in Lithium Iron Phosphate, Lithium Nickel Manganese Cobalt Oxide, &Lithium Nickel Cobalt Manganese Aluminum Oxide batteries for cathode based on energy, power, &vehicle range reqmts, &graphite &silicon for anode based on energy &power reqmts. Research, dvlp, & lead the research project of cloud-computing-assisted BMS, exploring methods to enhance battery SOC, SOP, SOE, &SOH estimations monitoring &efficiency of BEV battery syss based on the Internet of Things architecture. PhD (Doctorate), Mechanical or Electrical Engrg. 12 mos exp as Researcher, Engineer, Graduate Research Assistant, or related, researching, dvlpg, &investigating stochastic, nonlinear, &ML algorithms in psgr vehicle sys, or related. Mail resume to Ref#430-36, GM Global Mobility, 300 Renaissance Center, MC:482-C32-C66, Detroit, MI 48265.