Statistical method tools to analyze ageing effects on Li-Ion battery performances

Anthony Barré (1) , Frédéric Suard (1) , Mathias Gerard (2) , Maxime Montaru (3) , Delphine Riu (4)

1 LADIS (CEA, LIST) - Laboratoire d'analyse des données et d'intelligence des systèmes (CEA, LIST)
2 LITEN - Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux
3 DTS - Département des Technologies Solaires
4 G2ELab - Laboratoire de Génie Electrique de Grenoble

This paper describes the analysis of recorded data parameters from electrical battery ageing during electric vehicle use. These data allow traditional battery ageing investigation based on resulting capacity fade and resistance raise. The measured variables are examined in order to explain the battery ageing obtained during the experiment. Such study enables us to identify the main ageing factors. Then, detailed statistical dependency explorations present results on battery ageing phenomena. All studies are done on real data collected from Lithium-ion battery; thereby results demonstrate and quantify a relationship between variables and battery ageing mechanisms.

Mots clés: Lithium-ion batteries; electric vehicles; batteries; battery ageing mechanisms; statistical analysis

Domaines: Energie électrique; Analyse de données, Statistiques et Probabilités [physics.data-an]; Applications [stat.AP]

Anthony Barré, Frédéric Suard, Mathias Gerard, Maxime Montaru, Delphine Riu. Statistical method tools to analyze ageing effects on Li-Ion battery performances. SAE 2013 World Congress & Exhibition, SAE International (The International Federation of Automotive Engineering Societies), Apr 2013, Detroit, United States. SAE Technical Paper 2013-01-1429, ⟨10.4271/2013-01-1429⟩. ⟨cea-01912671⟩