A Recurrent Neural Network For Battery Capacity Estimations In Electrical Vehicles
This study is an investigation if a recurrent long short-term memory (LSTM) based neural network can be used to estimate the battery capacity in electrical cars. There is an enormous interest in finding the underlying reasons why and how Lithium-ion batteries ages and this study is a part of this br...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Medie- och Informationsteknik
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160536 |