Battery Capacity Estimation and Health Management of an Electric Vehicle Fleet
Abstract
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