Towards an optimal deep neural network for SOC estimation of Electric-Vehicle Lithium-ion battery cells

Muhammad Anjum, Moizzah Asif, Jonathan Williams

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i bennod aralladolygiad gan gymheiriaid

Crynodeb

This paper has identified a minimal configuration of a DNN architecture and hyperparameter settings to effectively estimate SOC of EV battery cells. The results from the experimental work has shown that a minimal configuration of hidden layers and neurons can reduce the computational cost and resources required without compromising the performance. This is further supported by the number of epochs taken to train the best DNN SOC estimations model. Hence, demonstrating that the risk of overfitting estimation models to training datasets can also be reduced. This is further supported by the generalisation capability of the best model demonstrated through the decrease in error metrics values from test phase to those in validation phase.
Iaith wreiddiolSaesneg
TeitlEnergy and Sustainable Futures
Is-deitlProceedings of 2nd ICESF 2020
GolygyddionIosif Mporas, Pandelis Kourtessis, Amin Al-Habaibeh, Abhishek Asthana, Vladimir Vukovic, John Senior
Man cyhoeddiHertfordshire
CyhoeddwrSpringer
Pennod1
Tudalennau11-18
Nifer y tudalennau294
Argraffiad1
ISBN (Electronig)978-3-030-63916-7, 978-3-030-63918-1
ISBN (Argraffiad)978-3-030-63915-0
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 4 Tach 2020
DigwyddiadThe International Conference on Energy and Sustainable Futures (ICESF) - Online, Hertfordshire, Y Deyrnas Unedig
Hyd: 10 Sep 202011 Sep 2020

Cyfres gyhoeddiadau

EnwSpringer Proceedings in Energy
CyhoeddwrSpringer International Publishing
ISSN (Argraffiad)2352-2534
ISSN (Electronig)2352-2534

Cynhadledd

CynhadleddThe International Conference on Energy and Sustainable Futures (ICESF)
Teitl crynoICESF
Gwlad/TiriogaethY Deyrnas Unedig
DinasHertfordshire
Cyfnod10/09/2011/09/20

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