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Predictive Battery Thermal Management of Electric Vehicles using Deep Learning

Improving the energy efficiency of battery electric vehicles increases their range and reduces well-to-wheel emissions. An efficient battery thermal management reduces the energy consumption while taking temperature- dependent battery ageing and power availability into account. This work presents a...

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Wedi'i Gadw mewn:
Prif Awdur: Billert, Andreas M.
Fformat: Online
Iaith:Saesneg
Cyhoeddwyd: KIT Scientific Publishing 2025
Pynciau:
Batteriethermomanagement
Tiefes Lernen
Neuronale Netze
Prädiktive Regelung
Battery Thermal Management
Deep Learning
Neural Networks
Predictive Control
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
Mynediad Ar-lein:ONIX_20251202T160246_9783731514299_31
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Crynodeb:Improving the energy efficiency of battery electric vehicles increases their range and reduces well-to-wheel emissions. An efficient battery thermal management reduces the energy consumption while taking temperature- dependent battery ageing and power availability into account. This work presents a method for a predictive cooling strategy to reduce the energy consumption, using information about the route ahead and Quantile Neural Networks (Q*NN) for accurate predictions.

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