%0 Journal Article %T A review on lithium-ion battery ageing mechanisms and estimations for automotive applications %+ ARC-Nucleart CEA Grenoble (NUCLEART) %+ Laboratoire d'analyse des données et d'intelligence des systèmes (LADIS) %+ Laboratoire de Génie Electrique de Grenoble (G2ELab) %A Barré, Anthony %A Deguilhem, Benjamin %A Grolleau, Sebastien %A Gérard, Mathias %A Suard, Frédéric %A Riu, Delphine %< avec comité de lecture %@ 0378-7753 %J Journal of Power Sources %I Elsevier %V 241 %P 680 - 689 %8 2013-11 %D 2013 %R 10.1016/j.jpowsour.2013.05.040 %K Modeling %K Remaining useful life %K State of health %K Lithium-ion battery %K Estimation %K Ageing %Z Engineering Sciences [physics]/Reactive fluid environment %Z Statistics [stat]/Applications [stat.AP] %Z Computer Science [cs]/Modeling and SimulationJournal articles %X Lithium-ion batteries have become the focus of research interest, thanks to their numerous benefits forvehicle applications. One main limitation of these technologies resides in the battery ageing. The effectsof battery ageing limit its performance and occur throughout their whole life, whether the battery is usedor not, which is a major drawback on real usage. Furthermore, degradations take place in every condition,but in different proportions as usage and external conditions interact to provoke degradations. Theageing phenomena are highly complicated to characterize due to the factors cross-dependence. Thispaper reviews various aspects of recent research and developments, from different fields, on lithium-ionbattery ageing mechanisms and estimations. In this paper is presented a summary of techniques, modelsand algorithms used for battery ageing estimation (SOH, RUL), going from a detailed electrochemicalapproach to statistical methods based on data. In order to present the accuracy of currently usedmethods, their respective characteristics are discussed. Remaining challenges are deeply detailed, alongwith a discussion about the ideal method resulting from existing methods. %G English %2 https://cea.hal.science/cea-01791260/document %2 https://cea.hal.science/cea-01791260/file/Article_AnthonyBarre1.pdf %L cea-01791260 %U https://cea.hal.science/cea-01791260 %~ CEA %~ UNIV-SAVOIE %~ UGA %~ CNRS %~ UNIV-GRENOBLE1 %~ INPG %~ G2ELAB %~ DRT %~ TDS-MACS %~ LIST %~ LITEN %~ CEA-GRE %~ DM2I %~ USMB-COMUE %~ INES %~ DIN