Fast hybrid FNN-GPR modeling for state of health estimation in Lithium-ion cells using early charge data: addressing performance variability

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-04-08
Primary Topic
Venomous Animal Envenomation and Studies
Type
article
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article

Fast hybrid FNN-GPR modeling for state of health estimation in Lithium-ion cells using early charge data: addressing performance variability

SPIRE - Sciences Po Institutional REpository
Venomous Animal Envenomation and Studies
article

Fast hybrid FNN-GPR modeling for state of health estimation in Lithium-ion cells using early charge data: addressing performance variability

article en

Abstract

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SPIRE - Sciences Po Institutional REpository
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Venomous Animal Envenomation and Studies
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Fast hybrid FNN-GPR modeling for state of health estimation in Lithium-ion cells using early charge data: addressing performance variability · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS