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Researchers train AI to predict EV battery degradation

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Researchers train AI to predict EV battery degradation - The Next Web

Quick Summary:

Lithium-ion batteries have become a key component in the rise of electric mobility, but forecasting their health and lifespans is limiting the technology.

While they’ve proven successful, the capacity of lithium-ion batteries degrades over time, and not just because of the ageing process that occurs during charging and discharging — known as "cycling ageing.” Batteries also degrade when not in use Lithium-ion battery cells also suffer degradation from so-called "calendar ageing,” which occurs during storage, or simply when the battery is not in use.

It’s determined by three main factors: the rest state of charge (SOC), the rest temperature, and the duration of the rest time of a battery.

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Article Details

Author / Journalist: Ioanna Lykiardopoulou

Category: Technology

Topics: Neural Shift Next Featured

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2022-09-02, 18:31:15

News Timezone: GMT +1:00

News Source URL:

Language: English

Reading Time: 4 minutes read

Article Length: 596 words

Coverage Area: Netherlands

Availability: Desktop Web, Mobile Web

News ID: 256388

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Coverage Areas: Netherlands

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