title: Toyota Prius HEV neurocontrol and diagnostics.
abstract: A neural network controller for improved fuel efficiency of the Toyota Prius hybrid electric vehicle is proposed. A new method to detect and mitigate a battery fault is also presented. The approach is based on recurrent neural networks and includes the extended Kalman filter. The proposed approach is quite general and applicable to other control systems.
authors.affiliation: Toyota Technical Center, A division of Toyota Motor Engineering and Manufacturing North America (TEMA), Ann Arbor, MI 48105, United States. dvprokhorov@gmail.com
authors.forename: Danil V
authors.initials: DV
authors.lastname: Prokhorov
mesh_terms: D000465:Algorithms; D001336:Automobiles / Q000191:economics; D003661:Decision Support Techniques; D019544:Equipment Failure Analysis / Q000379:methods; D016571:Neural Networks, Computer