State-of-Health Estimation for Lithium-ion Batteries by Combining Model-Based Incremental Capacity Analysis with Support Vector Regression

One dimensional fast computational partial differential model for heat transfer in lithium-ion batteries

(2021) A. Mevawalla et al.   Journal of Energy Storage

Health Prognosis With Optimized Feature Selection for Lithium-Ion Battery in Electric Vehicle Applications

(2021) Ji Wu et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression

(2020) Xiaoyu Li et al.   ENERGY

A review of the state of health for lithium-ion batteries: Research status and suggestions

(2020) Huixin Tian et al.   JOURNAL OF CLEANER PRODUCTION

State-of-Health Estimation of Lithium-Ion Batteries Using Incremental Capacity Analysis Based on Voltage–Capacity Model

(2020) Jiangtao He et al.   IEEE Transactions on Transportation Electrification

Comparative study of curve determination methods for incremental capacity analysis and state of health estimation of lithium-ion battery

(2020) Jiangtao He et al.   Journal of Energy Storage

Battery incremental capacity curve extraction by a two-dimensional Luenberger–Gaussian-moving-average filter

(2020) Xiaopeng Tang 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

Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine

(2019) Xuning Feng et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   APPLIED ENERGY

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

(2019) Xiaoyu Li et al.   ENERGY

Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique

(2019) Daniel-Ioan Stroe et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application

(2018) Rui Xiong et al.   APPLIED ENERGY

State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network

(2018) Bizhong Xia et al.   ENERGY

Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries

(2018) Linfeng Zheng et al.   ENERGY

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Condition Monitoring in Advanced Battery Management Systems: Moving Horizon Estimation Using a Reduced Electrochemical Model

(2018) Xiaosong Hu et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

(2018) M.S. Hossain Lipu et al.   JOURNAL OF CLEANER PRODUCTION

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

(2018) Rui Xiong et al.   JOURNAL OF POWER SOURCES

Degradation diagnostics for lithium ion cells

(2017) Christoph R. Birkl et al.   JOURNAL OF POWER SOURCES

A capacity model based on charging process for state of health estimation of lithium ion batteries

(2016) Xue Li et al.   APPLIED ENERGY

State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking

(2016) Caihao Weng et al.   APPLIED ENERGY

State-of-health estimation of LiFePO 4 /graphite batteries based on a model using differential capacity

(2016) Soichiro Torai et al.   JOURNAL OF POWER SOURCES

Critical review of state of health estimation methods of Li-ion batteries for real applications

(2016) M. Berecibar et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

(2015) Meru A. Patil et al.   APPLIED ENERGY

On-line estimation of lithium-ion battery impedance parameters using a novel varied-parameters approach

(2013) Wladislaw Waag et al.   JOURNAL OF POWER SOURCES

On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression

(2013) Caihao Weng et al.   JOURNAL OF POWER SOURCES

An ensemble model for predicting the remaining useful performance of lithium-ion batteries

(2013) Yinjiao Xing et al.   MICROELECTRONICS RELIABILITY

A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation

(2011) Chao Hu et al.   APPLIED ENERGY

A comparative study of equivalent circuit models for Li-ion batteries

(2011) Xiaosong Hu et al.   JOURNAL OF POWER SOURCES

Identifying battery aging mechanisms in large format Li ion cells

(2010) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES

Prognostics in Battery Health Management

(2008) Kai Goebel et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE