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Evaluation of the End-of-Life of Electric Vehicle Batteries According to the State-of-Health

doi: 10.3390/wevj10040063
handle: 2117/179723 , 2117/340477
As a result of monitoring thousands of electric vehicle charges around Europe, this study builds statistical distributions that model the amount of energy necessary for trips between charges, showing that most of trips are within the range of electric vehicle even when the battery degradation reaches the end-of-life, commonly accepted to be 80% State of Health. According to these results, this study analyses how far this End-of-Life can be pushed forward using statistical methods and indicating the provability of failing to fulfill the electric vehicle (EV) owners’ daily trip needs.
Electric vehicles, :Energies [Àrees temàtiques de la UPC], end-of-life, Electric vehicle, Àrees temàtiques de la UPC::Energies, Bateries d'ió liti, Battery aging, battery aging, state of health, TA1001-1280, Vehicles elèctrics -- Bateries, electric vehicle, Bbattery aging, sustainability, State of health, End-of-Life, TK1-9971, Transportation engineering, Lithium ion batteries, Vehicles elèctrics, Sustainability, Electric vehicles--Batteries, Electrical engineering. Electronics. Nuclear engineering
Electric vehicles, :Energies [Àrees temàtiques de la UPC], end-of-life, Electric vehicle, Àrees temàtiques de la UPC::Energies, Bateries d'ió liti, Battery aging, battery aging, state of health, TA1001-1280, Vehicles elèctrics -- Bateries, electric vehicle, Bbattery aging, sustainability, State of health, End-of-Life, TK1-9971, Transportation engineering, Lithium ion batteries, Vehicles elèctrics, Sustainability, Electric vehicles--Batteries, Electrical engineering. Electronics. Nuclear engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).37 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 53 download downloads 55 - 53views55downloads
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