Lithium-Ion Battery Remaining Useful Life Prediction Based on Hybrid Model

Xuliang Tang, Heng Wan (), Weiwen Wang, Mengxu Gu, Linfeng Wang and Linfeng Gan
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Xuliang Tang: School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China
Heng Wan: School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China
Weiwen Wang: Shanghai MTR No.1 Operation Co., Ltd., Shanghai 201418, China
Mengxu Gu: School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China
Linfeng Wang: School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China
Linfeng Gan: School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China

Sustainability, 2023, vol. 15, issue 7, 1-18

Abstract: Accurate prediction of the remaining useful life (RUL) is a key function for ensuring the safety and stability of lithium-ion batteries. To solve the capacity regeneration and model adaptability under different working conditions, a hybrid RUL prediction model based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a bi-directional gated recurrent unit (BiGRU) is proposed. CEEMDAN is used to divide the capacity into intrinsic mode functions (IMFs) to reduce the impact of capacity regeneration. In addition, an improved grey wolf optimizer (IGOW) is proposed to maintain the reliability of the BiGRU network. The diversity of the initial population in the GWO algorithm was improved using chaotic tent mapping. An improved control factor and dynamic population weight are adopted to accelerate the convergence speed of the algorithm. Finally, capacity and RUL prediction experiments are conducted to verify the battery prediction performance under different training data and working conditions. The results indicate that the proposed method can achieve an MAE of less than 4% with only 30% of the training set, which is verified using the CALCE and NASA battery data.

Keywords: lithium-ion battery; remaining useful life; bi-directional gated recurrent unit; grey wolf optimizer (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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