A new state-of-charge estimation method for electric vehicle lithium-ion batteries based on multiple input parameter fitting model-Reference-Cited by-同舟云学术

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A new state-of-charge estimation method for electric vehicle lithium-ion batteries based on multiple input parameter fitting model

Published:2017-01-28 Issue:9 Volume:41 Page:1265-1276
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int. J. Energy Res.

Author:

Liu Xintian¹,He Yao¹,Zheng Xinxin¹,Zhang Jiangfeng²,Zeng Guojian¹

Affiliation:

1. New Energy Automobile Engineering Research Institute; Hefei University of Technology; Anhui China

2. School of Electrical, Mechanical and Mechatronic Systems; University of Technology Sydney; Australia

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. Temperature dependency of state of charge inhomogeneities and their equalization in cylindrical lithium-ion cells;Osswald;Journal of Power Sources,2016

2. Energy sharing control scheme for state-of-charge balancing of distributed battery energy storage system;Huang;IEEE Transactions on Industrial Electronics,2015

3. A review on electric vehicle battery modelling: from lithium-ion toward lithium-sulphur;Fotouhi;Renewable and Sustainable Energy Reviews,2016

4. ANFIS (adaptive neuro-fuzzy inference system) based online SOC (state of charge) correction considering cell divergence for the EV (electric vehicle) traction batteries;Dai;Energy,2015

5. Influence of the vehicle-to-grid strategy on the aging behavior of lithium battery electric vehicles;Marongiu;Applied Energy,2015

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2. Research on SOC Algorithm of Lithium Ion Battery Based on New Energy Vehicle;Lecture Notes in Electrical Engineering;2024

3. Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach;Journal of Energy Storage;2023-11

4. Orthogonal Autoencoders for Long-Term State-of-Charge Forecasting of Li-ion Battery Cells;2023 IEEE Transportation Electrification Conference & Expo (ITEC);2023-06-21

5. Deep reinforcement learning based state of charge estimation and management of electric vehicle batteries;IET Smart Grid;2023-06-16

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