State of charge estimation of Li-ion batteries in an electric vehicle based on a radial-basis-function neural network
Author:
Publisher
IOP Publishing
Subject
General Physics and Astronomy
Reference10 articles.
1. Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach
2. Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries
3. Power capability analysis in lithium ion batteries using electrochemical impedance spectroscopy
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1. Parameter Identification of Lithium Battery Model Based on Chaotic Quantum Sparrow Search Algorithm;Applied Sciences;2022-07-21
2. Polynomial Augmented Extended Kalman Filter to Estimate the State of Charge of Lithium-Ion Batteries;IEEE Transactions on Vehicular Technology;2020-02
3. Parameter identification and state-of-charge estimation approach for enhanced lithium–ion battery equivalent circuit model considering influence of ambient temperatures*;Chinese Physics B;2019-09-01
4. Residual range estimation for battery electric vehicle based on radial basis function neural network;Measurement;2018-11
5. A Novel Real-Time State-of-Health and State-of-Charge Co-Estimation Method for LiFePO 4 Battery;Chinese Physics Letters;2016-07
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