Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference45 articles.
1. The path enabling storage of renewable energy toward carbon neutralization in China;Li;ETransportation,2023
2. Toward more realistic microgrid optimization: experiment and high-efficient model of Li-ion battery degradation under dynamic conditions;Wei;ETransportation.,2022
3. Research progress, trends and prospects of big data technology for new energy power and energy storage system;Hong;Energy Rev,2023
4. Electr. Veh. - fuels technol,2023
5. Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks;Hong;Appl Energy,2019
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