Authors:
Loic Lavigne
1
;
Jocelyn Sabatier
1
;
Junior Mbala Francisco
1
;
Franck Guillemard
2
and
Agnieszka Noury
2
Affiliations:
1
Bordeaux University, France
;
2
PSA Peugeot Citroën, France
Keyword(s):
Lithium-ion Cell, Open Circuit Voltage (OCV) Curve Adjustment, Battery Aging Monitoring.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Fault Detection and Identification
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Modeling
Abstract:
This paper is a contribution to lithium-ion batteries modeling tacking into account aging effects. It first analyses the impact of aging on electrode stoichiometry and then on lithium-ion cell Open Circuit Voltage (OCV) curve. Through some hypotheses and an appropriate definition of the cell state of charge, it shows that each electrode equilibrium potential, but also the whole cell equilibrium potential can be modelled by a polynomial that requires only one adjustment parameter during aging. An adjustment algorithm, based on the idea that for two fixed OCVs, the state of charge between these two equilibrium states is unique for a given aging level, is then proposed. Its efficiency is evaluated on a battery pack constituted of four cells. This adjustment parameter can thus be viewed as a State Of Health (SOH) or aging indicator.