Ageing effects prediction on Lithium-Ion Batteries in second-life applications

The growing number of Electric Vehicles in circulation, will soon pose the problem of how to manage spent batteries which, having exceeded their useful lifetime, no longer meet the specifications for usage in EV. A viable possibility is their reuse in applications less demanding than EV. This work i...

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Published in:2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) pp. 201 - 206
Main Authors: Micari, S., Foti, S., Testa, A., Caro, S. De, Sergi, F., Andaloro, L., Aloisio, D., Napoli, G.
Format: Conference Proceeding
Language:English
Published: IEEE 01-06-2020
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Abstract The growing number of Electric Vehicles in circulation, will soon pose the problem of how to manage spent batteries which, having exceeded their useful lifetime, no longer meet the specifications for usage in EV. A viable possibility is their reuse in applications less demanding than EV. This work is aimed to develop an ageing model able to predict the residual lifespan of EV Li-ion batteries in second life applications dealing with stationary energy storage systems.
AbstractList The growing number of Electric Vehicles in circulation, will soon pose the problem of how to manage spent batteries which, having exceeded their useful lifetime, no longer meet the specifications for usage in EV. A viable possibility is their reuse in applications less demanding than EV. This work is aimed to develop an ageing model able to predict the residual lifespan of EV Li-ion batteries in second life applications dealing with stationary energy storage systems.
Author Sergi, F.
Testa, A.
Napoli, G.
Foti, S.
Caro, S. De
Andaloro, L.
Aloisio, D.
Micari, S.
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Snippet The growing number of Electric Vehicles in circulation, will soon pose the problem of how to manage spent batteries which, having exceeded their useful...
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StartPage 201
SubjectTerms Electric Vehicles
Li-ion batteries
Lifespan prediction
Second-life
Stationary Energy Storage
Title Ageing effects prediction on Lithium-Ion Batteries in second-life applications
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