Rapid ultracapacitor life prediction with a convolutional neural network

Optimal Function Approximation with ReLU Neural Networks

(2021) Bo Liu et al.   NEUROCOMPUTING

Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit

(2021) Dechen Yao et al.   MEASUREMENT

Electrode ageing estimation and open circuit voltage reconstruction for lithium ion batteries

(2021) Jinpeng Tian et al.   Energy Storage Materials

State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach

(2021) Jinpeng Tian et al.   APPLIED ENERGY

A survey on modern trainable activation functions

(2021) Andrea Apicella et al.   NEURAL NETWORKS

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

Robust optimization based energy management of a fuel cell/ultra-capacitor hybrid electric vehicle under uncertainty

(2020) Rayhane Koubaa et al.   ENERGY

Performance improvement of empirical models for estimation of global solar radiation in India: A k-fold cross-validation approach

(2020) Sheikh Saud et al.   Sustainable Energy Technologies and Assessments

Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution

(2020) Qi Zhou et al.   ENERGY AND BUILDINGS

Capacity estimation of lithium-ion cells by combining model-based and data-driven methods based on a sequential extended Kalman filter

(2020) Xin Lai et al.   ENERGY

Remaining useful life prediction for supercapacitor based on long short-term memory neural network

(2019) Yanting Zhou et al.   JOURNAL OF POWER SOURCES

Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors

(2019) Yanting Zhou et al.   APPLIED ENERGY

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

(2019) Zhiwei Xue et al.   NEUROCOMPUTING

A review on prognostics and health management (PHM) methods of lithium-ion batteries

(2019) Huixing Meng et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Adaptive and robust prediction for the remaining useful life of electrolytic capacitors

(2018) Qi Qin et al.   MICROELECTRONICS RELIABILITY

A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries

(2018) Qi Zhao et al.   MICROELECTRONICS RELIABILITY

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

A critical review on self-adaptive Li-ion battery ageing models

(2018) M. Lucu et al.   JOURNAL OF POWER SOURCES

Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC

(2017) Xin Zhang et al.   MICROELECTRONICS RELIABILITY

An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks

(2016) Ji Wu et al.   APPLIED ENERGY

Study of Supercapacitor Aging and Lifetime Estimation According to Voltage, Temperature, and RMS Current

(2014) Paul Kreczanik et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS