LiFePO4 Battery State of Health Online Estimation Using Electric Vehicle Embedded Incremental Capacity Analysis

Elie Riviere (1) , Pascal Venet (1) , Ali Sari (1) , Frederic Meniere , Yann Bultel (2)

1 MIS - Ampère, Département Méthodes pour l'Ingénierie des Systèmes
2 LEPMI - Laboratoire d'Electrochimie et de Physico-chimie des Matériaux et des Interfaces

This paper presents a fully embedded State of Health estimator for widely used lithium iron phosphate batteries. The study was done including technical and cost constraints of automotive industry. An online estimator using Incremental Capacity Analysis and a Butterworth filter is studied. Cells were aged using pure electric vehicle cycles and were monitored with an automotive Battery Management System. Using this electronic platform and considering incomplete charge/discharge cycles, a 2% accurate State of Health estimator is proposed.

Mots clés: incremental capacity analysis; pure electric vehicle cycles; automotive battery management system; state of health estimator; Butterworth filter; LiFePO4; lithium iron phosphate batteries; automotive industry

Domaines: Energie électrique

Elie Riviere, Pascal Venet, Ali Sari, Frederic Meniere, Yann Bultel. LiFePO4 Battery State of Health Online Estimation Using Electric Vehicle Embedded Incremental Capacity Analysis. VPPC, Oct 2015, Montréal, Canada. ⟨10.1109/VPPC.2015.7352972⟩. ⟨hal-01864281⟩