Prediction of Remaining Life of Lithium-ion Battery Based on Improved Sparrow Algorithm

Author:

Zhu Kai1,Li Yuanjiang2,Guo Xuan1

Affiliation:

1. School of Automobile and Traffic Engineering Jiangsu University of Technology,Changzhou,China

2. Jiangsu University of Science and Technology,Department of Oceanology,Zhenjiang,China

Publisher

IEEE

Reference19 articles.

1. Superheated steam temperature model parameter identification based on hybrid quantum sparrow algorithm;he;J North China Electr Power Univ,0

2. Improved sparrow algorithm combining Cauchy mutation and reverse learning;mao;Experimental Computer Science,2021

3. Life prediction of lithium ion battery based on ssa-lstm;guo;Battery Ind,2021

4. Hybrid strategy improved sparrow search algorithm;zhang;Comput Eng Appl,0

5. Chaos sparrow search optimization algorithm;lu;J Beijing Univ Aeronautics Astronautics,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Bi-directional Long-term Recurrent Network for Remaining Useful Life Prediction of Lithium Batteries;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

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