Battery Capacity Estimation and Health Management of an Electric Vehicle Fleet

Anthony Barré (1, 2) , Frédéric Suard (1) , Mathias Gerard (2) , Delphine Riu (3)

1 LADIS - Laboratoire d'analyse des données et d'intelligence des systèmes
2 LITEN - Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux
3 G2ELab - Laboratoire de Génie Electrique de Grenoble

This paper addresses the challenge of monitoring battery in fleets of electric vehicles (EV). The goal is to identify the different EV utilization modes, during real use, and to highlight the constraining conditions to manage battery health evolution. The other part of this study aims to build a battery capacity estimation model, permitting to estimate the remaining capacity of an EV during its real use. Finally, is explained a strategy to improve capacity estimates, based on the identified EV utilization modes.

Keywords: Battery charge measurement; Temperature measurement; Estimation error; Electric vehicles; battery management systems; battery powered vehicles; estimation theory; secondary cells; battery capacity estimation improvement; electric vehicle fleet; battery monitoring; EV utilization modes; constraining conditions; battery health evolution management; lithium-ion batteries

Domains: Engineering Sciences [physics]; Electric power; Computer Science [cs]; Modeling and Simulation; Computer Science [cs]; Performance [cs.PF]; Mathematics [math]; Optimization and Control [math.OC]

Anthony Barré, Frédéric Suard, Mathias Gerard, Delphine Riu. Battery Capacity Estimation and Health Management of an Electric Vehicle Fleet. 2014 IEEE Vehicle Power and Propulsion Conference (VPPC), Oct 2014, Coimbra, Portugal. pp.7007025, ⟨10.1109/VPPC.2014.7007025⟩. ⟨cea-01887971⟩