Lithium-Ion Battery State of Health Estimation Based on Electrochemical Impedance Spectroscopy and Cuckoo Search Algorithm Optimized Elman Neural Network

On the use of electrochemical impedance spectroscopy to characterize and model the aging phenomena of lithium-ion batteries: a critical review

(2021) Pietro Iurilli et al.   JOURNAL OF POWER SOURCES

Integrated framework for SOH estimation of lithium-ion batteries using multiphysics features

(2021) Seho Son et al.   ENERGY

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

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Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning

(2020) Yunwei Zhang et al.   Nature Communications

An adaptive multi-state estimation algorithm for lithium-ion batteries incorporating temperature compensation

(2020) Xing Shu et al.   ENERGY

Elman neural network using ant colony optimization algorithm for estimating of state of charge of lithium-ion battery

(2020) Xiaobo Zhao et al.   Journal of Energy Storage

A novel deep learning framework for state of health estimation of lithium-ion battery

(2020) Yaxiang Fan et al.   Journal of Energy Storage

A novel data-driven method for predicting the circulating capacity of lithium-ion battery under random variable current

(2020) Tingting Xu et al.   ENERGY

A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries

(2019) Fangfang Yang et al.   ENERGY

Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

(2019) Yuanwang Deng et al.   ENERGY

A novel data-model fusion state-of-health estimation approach for lithium-ion batteries

(2019) Zeyu Ma et al.   APPLIED ENERGY

A model for state-of-health estimation of lithium ion batteries based on charging profiles

(2019) Xiaolei Bian et al.   ENERGY

Joint estimation of lithium-ion battery state of charge and capacity within an adaptive variable multi-timescale framework considering current measurement offset

(2019) Bo Jiang et al.   APPLIED ENERGY

An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management

(2019) Xiaosong Hu et al.   APPLIED ENERGY

The sequential algorithm for combined state of charge and state of health estimation of lithium-ion battery based on active current injection

(2019) Ziyou Song et al.   ENERGY

Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks

(2019) Shuzhi Zhang et al.   Journal of Energy Storage

Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis

(2018) Jufeng Yang et al.   APPLIED ENERGY

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

(2018) Ephrem Chemali et al.   JOURNAL OF POWER SOURCES

State of health estimation of lithium-ion batteries based on the constant voltage charging curve

(2018) Zengkai Wang et al.   ENERGY

Can Li-Ion batteries be the panacea for automotive applications?

(2017) A. Opitz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Performance comparison of four lithium–ion battery technologies under calendar aging

(2015) Akram Eddahech et al.   ENERGY

A review on energy management system for fuel cell hybrid electric vehicle: Issues and challenges

(2015) N. Sulaiman et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Investigations of lithium–sulfur batteries using electrochemical impedance spectroscopy

(2013) Natalia A. Cañas et al.   ELECTROCHIMICA ACTA