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An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries. (2023)
Conference Proceeding
WU, F., WANG, S., LIU, D., CAO, W. and FERNANDEZ, C. 2023. An improved bidirectional gate recurrent unit combined with smoothing filter algorithm for state of energy estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 363-368. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349332

The accurate estimation of state of energy (SOE) is the key to the rational energy distribution of lithium-ion battery based energy storage equipment. This paper proposes an improved bidirectional gate recursive element combined with a time-varying b... Read More about An improved bidirectional gate recurrent unit combined with smoothing flter algorithm for state of energy estimation of lithium-ion batteries..

An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. (2023)
Conference Proceeding
ZHU, C., WANG, S., YU, C., HAI, N., FERNANDEZ, C. and SUN, Z. 2023. An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 358-362. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349263

State of Charge (SOC) is one of the key indicators for evaluating the state of electric vehicles. In order to cope with the uncertainty of random noise in nonlinear systems, an improved robust function correction-adaptive extended Kalman filtering (R... Read More about An improved robust function correction-adaptive extended Kalman filtering algorithm for SOC estimation of lithium-ion batteries..

An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. (2023)
Conference Proceeding
WANG, S., HAI, N., YANG, J. and FERNANDEZ, C. 2023. An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries. In Proceedings of the 3rd New energy and energy storage system control summit forum 2023 (NEESSC 2023), 26-28 September 2023, Mianyang, China. Piscataway: IEEE [online], pages 369-372. Available from: https://doi.org/10.1109/NEESSC59976.2023.10349297

The state of charge estimation with high precision plays an important role in the usage of lithium-ion batteries in electronic vehicles. An improved genetic-backpropagation neural network (GA-BPNN) is proposed to predict the state of charge with high... Read More about An improved genetic-backpropagation neural network for state of charge estimation of lithium-ion batteries..