Fault Prediction Method Based on Improved Bidirectional Long Short-Term Memory Combined with Sample Entropy for Battery
Authors:
- 24 February 2023
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 6, 186-190
Abstract
Fast and accurate prediction of battery failures is essential to improve the safety and reliability of electric vehicles (EVs). In this paper, a fault prediction method based on improved bidirectional long short-term memory (IBiLSTM) combined with sample entropy (SampEn) is proposed. The parameters of the BiLSTM are optimized using the whale optimization algorithm (WOA), and attention mechanism is used to assign weights to the prediction values of the BiLSTM to obtain the optimal prediction values. The SampEn can detect the abnormal degree of the sequence containing the predicted values in order to achieve fault prediction. Finally, the accuracy and practicality of the proposed fault prediction method are verified by algorithmic principles and experimental studies.Keywords
This publication has 12 references indexed in Scilit:
- A review of lithium-ion battery safety concerns: The issues, strategies, and testing standardsJournal of Energy Chemistry, 2021
- Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlookJournal of Cleaner Production, 2021
- The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution controlEnvironmental Impact Assessment Review, 2021
- Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTMChaos, Solitons & Fractals, 2020
- Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis ProceduresIEEE Industrial Electronics Magazine, 2020
- Development path of electric vehicles in China under environmental and energy security constraintsResources, Conservation and Recycling, 2019
- Batteries and fuel cells for emerging electric vehicle marketsNature Energy, 2018
- The Whale Optimization AlgorithmAdvances in Engineering Software, 2016
- Physiological time-series analysis using approximate entropy and sample entropyAmerican Journal of Physiology-Heart and Circulatory Physiology, 2000
- Long Short-Term MemoryNeural Computation, 1997