Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks
Li, Xiaoyu, Zhang, Lei, Wang, Zhenpo, Dong, Peng·2019·Journal of Energy Storage
Cited by (443)
Items 101–200 of 443
- Remaining Useful Life Prediction for Lithium-Ion Batteries Based on CS-VMD and GRUGuorong Ding, Wenbo Wang, Ting Zhu · 2022 · IEEE Access
- A deep attention-assisted and memory-augmented temporal convolutional network based model for rapid lithium-ion battery remaining useful life predictions with limited dataZicheng Fei, Zijun Zhang, Fangfang Yang, Kwok‐Leung Tsui · 2023 · Journal of Energy Storage
- A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal imagesNian Cai, Xiaoping Que, Xu Zhang, Weiguo Feng, Yinghong Zhou · 2024 · Energy
- A LSTM-STW and GS-LM Fusion Method for Lithium-Ion Battery RUL Prediction Based on EEMDLing Mao, Jie Xu, Jiajun Chen, Jinbin Zhao, Yuebao Wu, Fengjun Yao · 2020 · Energies
- The application of hybrid energy storage system with electrified continuously variable transmission in battery electric vehicleJiageng Ruan, Qiang Song, Weiwei Yang · 2019 · Energy
- Fast capacity prediction of lithium-ion batteries using aging mechanism-informed bidirectional long short-term memory networkXiaodong Xu, Shengjin Tang, Xuebing Han, Languang Lu, Yu Wu, Chuanqiang Yu, Xiaoyan Sun, Jian Xie, Xuning Feng, Minggao Ouyang · 2023 · Reliability Engineering & System Safety
- Prediction of Battery Remaining Useful Life Using Machine Learning AlgorithmsJ. N. Chandra Sekhar, Bullarao Domathoti, Ernesto D.R. Santibañez González · 2023 · Sustainability
- The capacity prediction of Li-ion batteries based on a new feature extraction technique and an improved extreme learning machine algorithmTing Hao Tang, Huimei Yuan · 2021 · Journal of Power Sources
- Image- and health indicator-based transfer learning hybridization for battery RUL predictionJonathan Couture, Xianke Lin · 2022 · Engineering Applications of Artificial Intelligence
- Forecasting energy prices using a novel hybrid model with variational mode decompositionYu Qiang Lin, Qin Lu, Bin Tan, Yuanyuan Yu · 2022 · Energy
- Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural networkAihua Tang, Yihan Jiang, Yuwei Nie, Quanqing Yu, Weixiang Shen, MICHAEL G. PECHT · 2023 · Energy
- Big field data-driven battery pack health estimation for electric vehicles: A deep-fusion transfer learning approachHongao Liu, Zhongwei Deng, Yunhong Che, Le Xu, Bing Wang, Zhenyu Wang, Yi Xie, Xiaosong Hu · 2024 · Mechanical Systems and Signal Processing
- A New Hybrid Neural Network Method for State-of-Health Estimation of Lithium-Ion BatteryZhengyi Bao, Jiahao Jiang, Chunxiang Zhu, Mingyu Gao · 2022 · Energies
- Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Capacity Estimation and Box-Cox TransformationQiao Xue, Shiquan Shen, Guang Li, Yuanjian Zhang, Zheng Chen, Yonggang Liu · 2020 · IEEE Transactions on Vehicular Technology
- Remaining Useful Life Prediction of Machinery: A New Multiscale Temporal Convolutional Network FrameworkFeiyue Deng, Yan Bi, Yongqiang Liu, Shaopu Yang · 2022 · IEEE Transactions on Instrumentation and Measurement
- Adaptive Evolution Enhanced Physics-Informed Neural Networks for Time-Variant Health Prognosis of Lithium-Ion BatteriesBo Sun, Junlin Pan, Zeyu Wu, Quan Xia, Zili Wang, Yi Ren, Dezhen Yang, Xing Guo, Qiang Feng · 2022 · Journal of Power Sources
- Hybrid Data-Driven Approach for Predicting the Remaining Useful Life of Lithium-Ion BatteriesY. G. Li, Lei Li, Runze Mao, Yi Zhang, Song Xu, Jinglin Zhang · 2023 · IEEE Transactions on Transportation Electrification
- Development of the cycling life model of Ni-MH power batteries for hybrid electric vehicles based on real-world operating conditionsXiang Chen, Aihua Chu, Dan Li, Yinnan Yuan, Xueliang Fan, Yelin Deng · 2020 · Journal of Energy Storage
- Coupled electro-thermal modeling of lithium-ion batteries for electric vehicle applicationTedjani Mesbahi, Rocío Bendala Sugrañes, Reda Bakri, Patrick Bartholomeüs · 2021 · Journal of Energy Storage
- Current Distribution Estimation of Parallel-Connected Batteries for Inconsistency Diagnosis Using Long Short-Term Memory NetworksZhongrui Cui, Naxin Cui, Jing Rao, Changlong Li, Chenghui Zhang · 2021 · IEEE Transactions on Transportation Electrification
- Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive ReviewSomayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, Richard Carley, Amin Amirlatifi, Shahram Rahimi, Maria A. Seale, Linkan Bian · 2023 · IEEE Access
- Solar Radiation Prediction Based on Convolution Neural Network and Long Short-Term MemoryTingting Zhu, Yiren Guo, Zhenye Li, Cong Wang · 2021 · Energies
- A charging-feature-based estimation model for state of health of lithium-ion batteriesLi Cai, Jingdong Lin · 2023 · Expert Systems with Applications
- Li-ion battery prognostic and health management through an indirect hybrid modelZhiqiang Lyu, Geng Wang, Renjing Gao · 2021 · Journal of Energy Storage
- RUL-Mamba: Mamba-based remaining useful life prediction for lithium-ion batteriesJiahui Huang, Lei Liu, Hongwei Zhao, Tianqi Li, Bin Li · 2025 · Journal of Energy Storage
- Lithium-ion battery remaining useful life prediction using a two-phase degradation model with a dynamic change pointRui Wang, Mengmeng Zhu, Xiangwu Zhang, Hoang N. Pham · 2022 · Journal of Energy Storage
- A novel based-performance degradation Wiener process model for real-time reliability evaluation of lithium-ion batteryYun Long Zhu, Si‐Wei Liu, Kexiang Wei, Hongyan Zuo, Ronghua Du, Xiong Shu · 2022 · Journal of Energy Storage
- State of health prediction of lithium-ion batteries using particle swarm optimization with Levy flight and generalized opposition-based learningBide Zhang, Wei Liu, Yongxiang Cai, Zhongkang Zhou, Luyan Wang, Qiangqiang Liao, Zaiguo Fu, Zhiyuan Cheng · 2024 · Journal of Energy Storage
- Recent advancements and perspectives in lithium-ion battery aging: Mechanism, characterization, and predictionYuan Liu, Xin Lai, Yuejiu Zheng, E Cheng, Jiajun Zhu, Linglong Qian · 2025 · Journal of Energy Storage
- Prognostics of Lithium-Ion Batteries Based on Capacity Regeneration Analysis and Long Short-Term Memory NetworkYuxuan Cui, Yunxia Chen · 2022 · IEEE Transactions on Instrumentation and Measurement
- A hybrid approach for lithium-ion battery remaining useful life prediction using signal decomposition and machine learningYibiao Fan, Ziyong Lin, Fan Wang, Jianpeng Zhang · 2025 · Scientific Reports
- A Multioutput Convolved Gaussian Process for Capacity Forecasting of Li-Ion Battery CellsAbdallah Chehade, Ala Al-Haj Hussein · 2021 · IEEE Transactions on Power Electronics
- Capacity evaluation and degradation analysis of lithium-ion battery packs for on-road electric vehiclesHongao Liu, Zhongwei Deng, Yalian Yang, Chen Lu, Bin Li, Chuan Liu, Duanqian Cheng · 2023 · Journal of Energy Storage
- Fault Diagnosis and Detection for Battery System in Real-World Electric Vehicles Based on Long-Term Feature Outlier AnalysisXiaoyu Li, Xiao Gao, Zhaosheng Zhang, Qiping Chen, Zhenpo Wang · 2023 · IEEE Transactions on Transportation Electrification
- Battery pack consistency modeling based on generative adversarial networksXinyuan Fan, Weige Zhang, Bingxiang Sun, Junwei Zhang, Xitian He · 2021 · Energy
- Modeling Hourly Soil Temperature Using Deep BiLSTM Neural NetworkCong Li, Yaonan Zhang, Xupeng Ren · 2020 · Algorithms
- Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoderHui Liu, Zhu Duan, Chao Chen · 2020 · Applied Energy
- Remaining useful life prediction of lithium-ion battery based on fusion model considering capacity regeneration phenomenonNing He, Ziqi Yang, Cheng Qian, Ruoxia Li, Feng Gao, Fuan Cheng · 2024 · Journal of Energy Storage
- PatchFormer: A novel patch-based transformer for accurate remaining useful life prediction of lithium-ion batteriesLei Liu, Jiahui Huang, Hongwei Zhao, Tianqi Li, Bin Li · 2025 · Journal of Power Sources
- An iterative model of the generalized Cauchy process for predicting the remaining useful life of lithium-ion batteriesHong Guangxu, Wanqing Song, Yan Xia Gao, Enrico Zio, Aleksey A. Kudreyko · 2021 · Measurement
- State of charge estimation of power lithium-ion battery based on an adaptive time scale dual extend Kalman filteringMuyao Wu, Linlin Qin, Gang Wu · 2021 · Journal of Energy Storage
- Prediction of Remaining Useful Life of Lithium Batteries Based on WOA-VMD and LSTMMingsan Ouyang, Peicheng Shen · 2022 · Energies
- Data driven health and life prognosis management of supercapacitor and lithium-ion battery storage systems: Developments, implementation aspects, limitations, and future directionsHossain Lipu, M.S., Rahman, M.S. Abd, Mansor, M., Rahman, Tuhibur, Ansari, Shaheer, Fuad, Abu M., Hannan, M.A. · 2024 · Journal of Energy Storage
- Predictive Modeling for Electric Vehicle Battery State of Health: A Comprehensive Literature ReviewJianqiang Gong, Bin Shi Xu, Fanghua Chen, Gang Zhou · 2025 · Energies
- State of charge estimation of Power lithium-ion battery based on an Affine Iterative Adaptive Extended Kalman FilterMuyao Wu, Linlin Qin, Gang Wu · 2022 · Journal of Energy Storage
- Optimal charging strategy design for lithium‐ion batteries considering minimization of temperature rise and energy lossZheng Chen, Xing Shu, Renxin Xiao, Wensheng Yan, Yonggang Liu, Jiangwei Shen · 2019 · International Journal of Energy Research
- A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable BatteriesZihan Zhang, Yeonjeong Jeong, Jongseong Jang, Chi-Guhn Lee · 2022 · IEEE Transactions on Industrial Informatics
- Novel Image-Based Rapid RUL Prediction for Li-Ion Batteries Using a Capsule Network and Transfer LearningJonathan Couture, Xianke Lin · 2022 · IEEE Transactions on Transportation Electrification
- Transfer learning based remaining useful life prediction of lithium-ion battery considering capacity regeneration phenomenonXiaowu Chen, Zhen Liu, Hanmin Sheng, Kunping Wu, Jinhua Mi, Qi Li · 2023 · Journal of Energy Storage
- Multi‐Scale Prediction of RUL and SOH for Lithium‐Ion Batteries Based on WNN‐UPF Combined ModelJianfang Jia, Wang Keke, Pang Xiaoqiong, Yuanhao Shi, Wen Jie, Zeng Jianchao · 2021 · Chinese Journal of Electronics
- A novel hybrid model for lithium-ion batteries lifespan prediction with high accuracy and interpretabilityXiaoxian Pang, Wei Bo Yang, Chengyun Wang, Haosen Fan, Le Wang, Junhao Li, Shi Zhong, Wenzhi Zheng, Hanbo Zou, Shengzhou Chen et al. · 2023 · Journal of Energy Storage
- Overcharge investigation of degradations and behaviors of large format lithium ion battery with Li(Ni0.6Co0.2Mn0.2)O2 cathodeYingbo Liu, Ran Huo, Honglian Qin, Xianqiang Li, Dexun Wei, Tao Zeng · 2020 · Journal of Energy Storage
- RUL prediction for lithium-ion batteries based on variational mode decomposition and hybrid network modelLiwen Hu, Wenbo Wang, Guorong Ding · 2023 · Signal Image and Video Processing
- Review of online learning for control and diagnostics of power converters and drives: Algorithms, implementations and applicationsMengfan Zhang, Pere Izquierdo Gómez, Qianwen Xu, Tomislav Dragičević · 2023 · Renewable and Sustainable Energy Reviews
- Long Short-Term Memory Neural Network with Transfer Learning and Ensemble Learning for Remaining Useful Life PredictionLixiong Wang, Hanjie Liu, Zhen Pan, Dian Fan, Ciming Zhou, Zhigang Wang · 2022 · Sensors
- Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy MeasuresAlireza Namdari, Maryam Asad Samani, T.S. Durrani · 2022 · Algorithms
- Novel Virtual Sample Generation Based on Locally Linear Embedding for Optimizing the Small Sample Problem: Case of Soft Sensor ApplicationsQunxiong Zhu, Xiao-Han Zhang, Yan-Lin He · 2020 · Industrial & Engineering Chemistry Research
- Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Improved Variational Mode Decomposition and Machine Learning AlgorithmChuang Sun, An Qu, Jun Zhang, Qiyang Shi, Zhenhong Jia · 2022 · Energies
- Multi-scale prediction of remaining useful life of lithium-ion batteries based on variational mode decomposition and integrated machine learningKangping Gao, Ziyi Huang, Chunting Lyu, Chengqi Liu · 2024 · Journal of Energy Storage
- Remaining Useful Life Prediction of Lithium Battery Based on Sequential CNN–LSTM MethodDongdong Li, Lin Yang · 2021 · Journal of Electrochemical Energy Conversion and Storage
- Performance Comparison of Long Short-Term Memory and a Temporal Convolutional Network for State of Health Estimation of a Lithium-Ion Battery using Its Charging CharacteristicsJikai Bi, Jae‐Cheon Lee, Hao Liu · 2022 · Energies
- A Virtual Sample Generation Method Based on Differential Evolution Algorithm for Overall Trend of Small Sample Data: Used for Lithium-ion Battery Capacity Degradation DataGuoqing Kang, Lifeng Wu, Yong Guan, Zhen Peng · 2019 · IEEE Access
- A Novel Combination Neural Network Based on ConvLSTM-Transformer for Bearing Remaining Useful Life PredictionFeiyue Deng, Zhe Chen, Yongqiang Liu, Shaopu Yang, Rujiang Hao, Litong Lyu · 2022 · Machines
- Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networksSungho Suh, Dhruv Mittal, Hymalai Bello, Bo Zhou, Mayank Jha, Paul Lukowicz · 2024 · Heliyon
- Real-Time State of Charge Estimation for Each Cell of Lithium Battery Pack Using Neural NetworksJaeHyung Park, Jong-Hyun Lee, Si‐Jin Kim, In-Soo Lee · 2020 · Applied Sciences
- A comprehensive overview of remaining useful life prediction: From traditional literature review to scientometric analysisYitong Liu, Jiarui Wen, Xintian Liu, Shuqun Yang, Guoqiang Wang · 2025 · Machine Learning with Applications
- Non-invasive Characteristic Curve Analysis of Lithium-ion Batteries Enabling Degradation Analysis and Data-Driven Model Construction: A ReviewRui Cao, Hanchao Cheng, Xuefeng Jia, Xinlei Gao, Zhengjie Zhang, Mingyue Wang, Li Shen, Cheng Zhang, Bin Ma, Xinhua Liu et al. · 2022 · Automotive Innovation
- An Energy Efficiency Optimization Strategy of Hybrid Electric Ship Based on Working Condition PredictionBeibei Liu, Diju Gao, Ping Yang, Yihuai Hu · 2022 · Journal of Marine Science and Engineering
- Deep Learning with Long Short-Term Memory Networks for Air Temperature PredictionsCong Li, Yaonan Zhang, Guohui Zhao · 2019 · International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)
- Indirect Prediction of Lithium-Ion Battery RUL Based on CEEMDAN and CNN-BiGRUKai Lv, Zhiqiang Ma, Caijilahu Bao, Guangchen Liu · 2024 · Energies
- A novel multiple kernel extreme learning machine model for remaining useful life prediction of lithium-ion batteriesHaohan Sun, Haobin Jiang, Zhengjian Gu, Huanhuan Li, Tiansi Wang, Weining Rao, Yaping Wang, Lei Pei, Chaochun Yuan, Long Fei Chen · 2024 · Journal of Power Sources
- Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and PrognosisDongzhen Lyu, Guangxing Niu, Enhui Liu, Tao Yang, Gang Chen, Bin Zhang · 2021 · IEEE Transactions on Industrial Electronics
- Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on the 1D CNN-BLSTM Neural NetworkJianhui Mou, Qingxin Yang, Yi Tang, Yuhui Liu, Junjie Li, Chengcheng Yu · 2024 · Batteries
- A Lithium-ion Battery State-of-Health Prediction Model Combining Convolutional Neural Network and Masked Multi-Head Attention MechanismXiao, Haipeng, Fu, Lijun, Shang, Chengya, Fan, Yaxiang, Bao, Xianqiang, Xu, Xinghua · 2025 · IEEE Transactions on Energy Conversion
- A multi-dimensional residual shrinking network combined with a long short-term memory network for state of charge estimation of Li-ion batteriesRui Quan, Pin Liu, Zhongxin Li, Yangxin Li, Yufang Chang, Huaicheng Yan · 2022 · Journal of Energy Storage
- Fatigue Life Prediction Method of Ceramic Matrix Composites Based on Artificial Neural NetworkHui Qian, Jin‐Cheng Zheng, Yusheng Wang, Dong Liang Jiang · 2023 · Applied Composite Materials
- Counterfactual explanations for remaining useful life estimation within a Bayesian frameworkJilles Andringa, Márcia Lourenço Baptista, Bruno Filipe Santos · 2025 · Information Fusion
- A fusion framework for lithium-ion batteries state of health estimation using compressed sensing and entropy weight methodNing He, Cheng Qian, Chao Shen, Yigeng Huangfu · 2022 · ISA Transactions
- A multi-step fast charging-based battery capacity estimation framework of real-world electric vehiclesDayu Zhang, Zhenpo Wang, Peng Liu, Chengqi She, Qiushi Wang, Litao Zhou, Zian Qin · 2024 · Energy
- Machine learning‐based approach for useful capacity prediction of second‐life batteries employing appropriate input selectionAnkit Bhatt, Weerakorn Ongsakul, Nimal Madhu M., Jai Govind Singh · 2021 · International Journal of Energy Research
- Remaining useful life prediction of lithium battery based on ACNN-Mogrifier LSTM-MMDZihan Li, Li Mei Ai, Fang Bai, Hongfu Zuo, Ying Zhang · 2023 · Measurement Science and Technology
- Remaining Useful Life Prediction of Lithium-Ion Batteries: A Temporal and Differential Guided Dual Attention Neural NetworkTianyu Wang, Zhongjing Ma, Suli Zou · 2023 · IEEE Transactions on Energy Conversion
- A model-data-fusion method for real-time continuous remaining useful life prediction of lithium batteriesJinrui Zhang, Dongzhen Lyu, Jiawei Xiang · 2024 · Measurement
- SOH Estimation of Lithium-Ion Batteries Using Distribution of Relaxation Times Parameters and Long Short-Term Memory ModelAbdul Shakoor Akram, Muhammad Sohaib, Woojin Choi · 2025 · Batteries
- Unsupervised data-preprocessing for Long Short-Term Memory based battery model under electric vehicle operationFelix Heinrich, Fabian Kai Dietrich Noering, Marco Pruckner, Konstantin Jonas · 2021 · Journal of Energy Storage
- Predicting the state parameters of lithium ion batteries: the race between filter-based and data driven approachesSiddhi Vinayak Pandey, Nishi Parikh, Daniel Prochowicz, Seçkin Akın, Soumitra Satapathi, Mohammad Mahdi Tavakoli, Abul Kalam, Pankaj Yadav · 2022 · Sustainable Energy & Fuels
- Machine Learning-based Remaining Useful Life Prediction Techniques for Lithium-ion Battery Management Systems: A Comprehensive ReviewAkash Samanta, Sheldon S. Williamson · 2023 · IEEJ Journal of Industry Applications
- State of Health prediction of lithium-ion batteries based on temporal degeneration feature extraction with Deep Cycle Attention NetworkChenye Zou, Yonghong Cheng, Yadong Zhang · 2023 · Journal of Energy Storage
- Physics-informed hybrid reinforcement learning for estimating lithium-ion battery state of healthNermin M. Salem, Ahmed Mohamed · 2025 · Scientific Reports
- Fast Modeling of the Capacity Degradation of Lithium-Ion Batteries via a Conditional Temporal Convolutional Encoder–DecoderJianxiang Wang, Yong Xiang · 2021 · IEEE Transactions on Transportation Electrification
- Deduction of the transformation regulation on voltage curve for lithium-ion batteries and its application in parameters estimationYang Liu, Caiping Zhang, Jiuchun Jiang, Linjing Zhang, Weige Zhang, Le Yi Wang · 2022 · eTransportation
- A Review on the Prediction of Health State and Serving Life of Lithium‐Ion BatteriesXiaoxian Pang, Shi Zhong, Yali Wang, Wei Bo Yang, Wenzhi Zheng, Gengzhi Sun · 2022 · The Chemical Record
- Data-driven rapid lifetime prediction method for lithium-ion batteries under diverse fast charging protocolsDinghong Chen, Weige Zhang, Caiping Zhang, Bingxiang Sun, Linjing Zhang, Xinwei Cong · 2023 · Journal of Energy Storage
- Rapid Test and Assessment of Lithium-Ion Battery Cycle Life Based on Transfer LearningYuhao Zhu, Xin Gu, Kailong Liu, Wenyuan Zhao, Yunlong Shang · 2024 · IEEE Transactions on Transportation Electrification
- State of charge estimation of lithium-ion batteries using transfer dual-stream physics-informed networkYuhang Zhou, Changdong Wang, Taochen Gu, Huamin Jie, Zhen Tao, Richard Xian‐Ke Gao, Kye Yak See, Zhenyu Zhao · 2025 · Journal of Energy Storage
- Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Deep Learning and Soft SensingZhuqing Wang, Qiqi Ma, Yangming Guo · 2021 · Actuators
- A Method for Predicting the Remaining Useful Life of Lithium Batteries Considering Capacity Regeneration and Random FluctuationsHaipeng Pan, Chengte Chen, Minming Gu · 2022 · Energies
- A Hybrid Model Integrating Elman Neural Network with Variational Mode Decomposition and Box–Cox Transformation for Monthly Runoff Time Series PredictionFangqin Zhang, Yan Kang, Xiao Cheng, Peiru Chen, Songbai Song · 2022 · Water Resources Management
- Remaining useful life prediction of lithium–ion batteries via spatial attention TLSTM and dilated CNN with evolutionary optimizationSuhua Chen, Fang Xu · 2025 · Scientific Reports
- Integrated framework for battery SOH estimation using incremental capacity and image feature transformationPing Ding, Taotao Li, Yajun Qiao, Linfeng Zheng, Hui Deng, Weixiong Wu · 2025 · Green Energy and Intelligent Transportation