Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Automatic multi-differential deep learning and its application to machine remaining useful life prediction

(2022) Sheng Xiang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Adaptive sliding window LSTM NN based RUL prediction for lithium-ion batteries integrating LTSA feature reconstruction

(2021) Zhuqing Wang et al.   NEUROCOMPUTING

A hybrid approach based on decomposition algorithm and neural network for remaining useful life prediction of lithium-ion battery

(2021) Ting Tang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression

(2021) Sai Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Combining empirical mode decomposition and deep recurrent neural networks for predictive maintenance of lithium-ion battery

(2021) James C. Chen et al.   ADVANCED ENGINEERING INFORMATICS

Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network

(2021) Gong Cheng et al.   ENERGY

Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition

(2021) Xiaodong Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle

(2020) Renzong Lian et al.   ENERGY

A novel energy management strategy for the ternary lithium batteries based on the dynamic equivalent circuit modeling and differential Kalman filtering under time-varying conditions

(2020) Shunli Wang et al.   JOURNAL OF POWER SOURCES

Remaining useful life prediction of aircraft lithium-ion batteries based on F-distribution particle filter and kernel smoothing algorithm

(2020) Kai ZHANG et al.   Chinese Journal of Aeronautics

Online energy management strategy of fuel cell hybrid electric vehicles based on rule learning

(2020) Yonggang Liu et al.   JOURNAL OF CLEANER PRODUCTION

Rule learning based energy management strategy of fuel cell hybrid vehicles considering multi-objective optimization

(2020) Yonggang Liu et al.   ENERGY

A Collaborative Gaussian Process Regression Model for Transfer Learning of Capacity Trends Between Li-Ion Battery Cells

(2020) Abdallah A. Chehade et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Multi-state joint estimation for a lithium-ion hybrid capacitor over a wide temperature range

(2020) Xiaoyu Li et al.   JOURNAL OF POWER SOURCES

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

(2020) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Capacity-Fading Behavior Analysis for Early Detection of Unhealthy Li-Ion Batteries

(2020) Changyong Lee et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

(2020) Kailong Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life

(2020) Lei Ren et al.   IEEE Transactions on Industrial Informatics

A Remaining Useful Life Prediction Method in the Early Stage of Stochastic Degradation Process

(2020) Yuhan Zhang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization

(2019) Yapeng Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Reliability modeling for a two-phase degradation system with a change point based on a Wiener process

(2019) Hongda Gao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization method

(2019) Mohammad Jafari et al.   RENEWABLE ENERGY

Remaining Useful Life Prediction of Battery Using a Novel Indicator and Framework With Fractional Grey Model and Unscented Particle Filter

(2019) Lin Chen et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Nonlinear-Drifted Fractional Brownian Motion With Multiple Hidden State Variables for Remaining Useful Life Prediction of Lithium-Ion Batteries

(2019) Heng Zhang et al.   IEEE TRANSACTIONS ON RELIABILITY

Battery Health Management for Small-size Rotary-wing Electric Unmanned Aerial Vehicles: An Efficient Approach for Constrained Computing Platforms

(2018) G. Sierra et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds

(2018) Austin Downey et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY