A computationally efficient adaptive online state-of-charge observer for Lithium-ion battery for electric vehicle
Due to the large number of cells installed in electric vehicle (EV), its battery management system (BMS) requires efficient state of charge (SOC) estimation algorithm. Since there is an impetus to reduce the computational burden (while retaining an acceptable accuracy), this paper proposes a simple...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/103111/1/ZainalSalam2022_AComputationallyEfficientAdaptiveOnline.pdf http://eprints.utm.my/103111/ http://dx.doi.org/10.1016/j.est.2022.104141 |
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