State of Charge Estimation in Lithium-Ion Batteries: A Neural Network Optimization Approach
State of Charge Estimation in Lithium-Ion Batteries: A Neural Network Optimization Approach
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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The development of an accurate and robust state-of-charge (SOC) estimation is crucial for the battery lifetime, efficiency, charge control, and safe driving of electric vehicles (EV). This paper proposes an enhanced data-driven method based on a time-delay neural network (TDNN) algorithm for state of charge (SOC) estimation in lithium-ion batteries...
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State of Charge Estimation in Lithium-Ion Batteries: A Neural Network Optimization Approach
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TN_cdi_proquest_journals_2599076322
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2599076322
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics9091546
