State of health prediction for lithium-ion battery using a gradient boosting-based data-driven method

Journal of Energy Storage ◽

10.1016/j.est.2021.103644 ◽

2021 ◽

pp. 103644

Author(s):

Pengliang Qin ◽

Linhui Zhao ◽

Zhiyuan Liu

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Data Driven ◽

Gradient Boosting ◽

State Of Health

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Data-Driven Model for State of Health Estimation of Lithium-Ion Battery

Computational Methods and Data Engineering - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-15-7907-3_21 ◽

2020 ◽

pp. 279-293

Author(s):

Rupam Singh ◽

V. S. Bharath Kurukuru ◽

Mohammed Ali Khan

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Data Driven ◽

State Of Health

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State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.3014932 ◽

2020 ◽

Vol 69 (10) ◽

pp. 10854-10867 ◽

Cited By ~ 1

Author(s):

Bin Gou ◽

Yan Xu ◽

Xue Feng

Keyword(s):

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Data Driven ◽

State Of Health ◽

Hybrid Data ◽

Useful Life

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Lithium-ion Battery Ageing Behavior Pattern Characterization and State-of-Health Estimation Using Data-Driven Method

IEEE Access ◽

10.1109/access.2021.3092743 ◽

2021 ◽

pp. 1-1

Author(s):

Zhiyong Xia ◽

Jaber A. Abu Qahouq

Keyword(s):

Lithium Ion Battery ◽

Behavior Pattern ◽

Lithium Ion ◽

Data Driven ◽

State Of Health ◽

Using Data

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Data driven analysis of lithium-ion battery internal resistance towards reliable state of health prediction

Journal of Power Sources ◽

10.1016/j.jpowsour.2021.230519 ◽

2021 ◽

Vol 513 ◽

pp. 230519

Author(s):

Mohammad A. Hoque ◽

Petteri Nurmi ◽

Arjun Kumar ◽

Samu Varjonen ◽

Junehwa Song ◽

...

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Internal Resistance ◽

Data Driven ◽

State Of Health

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A model‐based and data‐driven joint method for state‐of‐health estimation of lithium‐ion battery in electric vehicles

International Journal of Energy Research ◽

10.1002/er.4784 ◽

2019 ◽

Cited By ~ 9

Author(s):

Zhiqiang Lyu ◽

Renjing Gao

Keyword(s):

Lithium Ion Battery ◽

Electric Vehicles ◽

Lithium Ion ◽

Data Driven ◽

State Of Health ◽

Model Based ◽

Joint Method

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State‐of‐health estimation for the lithium‐ion battery based on gradient boosting decision tree with autonomous selection of excellent features

International Journal of Energy Research ◽

10.1002/er.7292 ◽

2021 ◽

Author(s):

Zhiqi Zhang ◽

Li Li ◽

Xi Li ◽

Yuchen Hu ◽

Kai Huang ◽

...

Keyword(s):

Decision Tree ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Gradient Boosting ◽

State Of Health ◽

Selection Of

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State of Health Estimation for Lithium-ion Battery Using Fuzzy Entropy and Support Vector Machine

2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia) ◽

10.1109/ipemc-ecceasia48364.2020.9368182 ◽

2020 ◽

Author(s):

Xin Sui ◽

Shan He ◽

Daniel-Ioan Stroe ◽

Remus Teodorescu

Keyword(s):

Support Vector Machine ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Fuzzy Entropy ◽

Support Vector ◽

State Of Health

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Lithium-ion battery state of health estimation using the incremental capacity and wavelet neural networks with genetic algorithm

Journal of Energy Storage ◽

10.1016/j.est.2021.102570 ◽

2021 ◽

Vol 38 ◽

pp. 102570

Author(s):

Chun Chang ◽

Qiyue Wang ◽

Jiuchun Jiang ◽

Tiezhou Wu

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Lithium Ion Battery ◽

Lithium Ion ◽

State Of Health ◽

Wavelet Neural Networks ◽

Incremental Capacity

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State of health estimation of lithium-ion battery based on an adaptive tunable hybrid radial basis function network

Journal of Power Sources ◽

10.1016/j.jpowsour.2021.230063 ◽

2021 ◽

Vol 504 ◽

pp. 230063

Author(s):

Mingqiang Lin ◽

Xianping Zeng ◽

Ji Wu

Keyword(s):

Radial Basis Function ◽

Lithium Ion Battery ◽

Basis Function ◽

Radial Basis Function Network ◽

Lithium Ion ◽

State Of Health ◽

Radial Basis ◽

Function Network

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Rapid measurement method for lithium‐ion battery state of health estimation based on least squares support vector regression

International Journal of Energy Research ◽

10.1002/er.6194 ◽

2020 ◽

Author(s):

Bin Xiao ◽

Bing Xiao ◽

Luoshi Liu

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Measurement Method ◽

Lithium Ion ◽

Support Vector ◽

State Of Health ◽

Rapid Measurement

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