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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Autore principale: Billert, Andreas M.
Natura: Online
Lingua:inglese
Pubblicazione: KIT Scientific Publishing 2025
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Accesso online:ONIX_20251202T160246_9783731514299_31
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author Billert, Andreas M.
author_browse Billert, Andreas M.
author_facet Billert, Andreas M.
author_sort Billert, Andreas M.
collection Directory of Open Access Books
description 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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publishDate 2025
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spelling doab-20.500.12854ir-1697962025-12-03T05:02:35Z Predictive Battery Thermal Management of Electric Vehicles using Deep Learning Billert, Andreas M. Batteriethermomanagement Tiefes Lernen Neuronale Netze Prädiktive Regelung Battery Thermal Management Deep Learning Neural Networks Predictive Control thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes 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. 2025-12-03T05:02:34Z 2025-12-03T05:02:34Z 2025-12-02T15:14:02Z 2025 book ONIX_20251202T160246_9783731514299_31 1869-6058 (Online) https://library.oapen.org/handle/20.500.12657/108923 9783731514299 https://directory.doabooks.org/handle/20.500.12854/169796 eng Karlsruher Schriftenreihe Fahrzeugsystemtechnik open access image/jpeg Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/108923/1/9783731514299.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000180497 10.5445/KSP/1000180497 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731514299 KIT Scientific Publishing 224 Karlsruhe, Germany open access
spellingShingle Batteriethermomanagement
Tiefes Lernen
Neuronale Netze
Prädiktive Regelung
Battery Thermal Management
Deep Learning
Neural Networks
Predictive Control
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
Billert, Andreas M.
Predictive Battery Thermal Management of Electric Vehicles using Deep Learning
title Predictive Battery Thermal Management of Electric Vehicles using Deep Learning
title_full Predictive Battery Thermal Management of Electric Vehicles using Deep Learning
title_fullStr Predictive Battery Thermal Management of Electric Vehicles using Deep Learning
title_full_unstemmed Predictive Battery Thermal Management of Electric Vehicles using Deep Learning
title_short Predictive Battery Thermal Management of Electric Vehicles using Deep Learning
title_sort predictive battery thermal management of electric vehicles using deep learning
topic Batteriethermomanagement
Tiefes Lernen
Neuronale Netze
Prädiktive Regelung
Battery Thermal Management
Deep Learning
Neural Networks
Predictive Control
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
topic_facet Batteriethermomanagement
Tiefes Lernen
Neuronale Netze
Prädiktive Regelung
Battery Thermal Management
Deep Learning
Neural Networks
Predictive Control
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
url ONIX_20251202T160246_9783731514299_31
work_keys_str_mv AT billertandreasm predictivebatterythermalmanagementofelectricvehiclesusingdeeplearning