Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation

In order to estimate the battery state of charge (SOC) accurately, an improved Thevenin model of a battery is established, its mathematical relation is very simple, and also it is easy to realize. In addition, we identify the model parameters, and then use extended Calman filter algorithm to estimate the battery state of charge. The simulation results show that, this model can well reflect the dynamic and static characteristics of a battery, and the Calman algorithm can keep good accuracy in the estimation process.

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Data Driven Estimation of Electric Vehicle Battery State of Charge Informed By Multi-Physics Modeling

ECS Meeting Abstracts ◽

10.1149/ma2020-02211598mtgabs ◽

2020 ◽

Vol MA2020-02 (21) ◽

pp. 1598-1598

Author(s):

Marco Ragone ◽

Vitaliy Yurkiv ◽

Ajaykrishna Ramasubramanian ◽

Babak Kashir ◽

Farzad Mashayek

Keyword(s):

Electric Vehicle ◽

State Of Charge ◽

Data Driven ◽

Battery State Of Charge ◽

Electric Vehicle Battery ◽

Physics Modeling

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A Review on The Battery State of Charge Estimation Methods For Electric Vehicle Battery Management Systems

2019 11th International Conference on Electrical and Electronics Engineering (ELECO) ◽

10.23919/eleco47770.2019.8990463 ◽

2019 ◽

Author(s):

Eyyup Aslan ◽

Yusuf Yasa

Keyword(s):

Electric Vehicle ◽

State Of Charge ◽

Estimation Methods ◽

Management Systems ◽

Battery Management ◽

Battery Management Systems ◽

Battery State Of Charge ◽

Electric Vehicle Battery ◽

State Of Charge Estimation

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State of Charge Estimation of Low-speed Electric Vehicle Battery using Back Propagation Neural Network

2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) ◽

10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00215 ◽

2020 ◽

Author(s):

Menglong Xu ◽

Wenguang Wu ◽

Wenwen Zhou ◽

Yuanyuan Ma ◽

Xiaolei Shi ◽

...

Keyword(s):

Neural Network ◽

Electric Vehicle ◽

Back Propagation ◽

Back Propagation Neural Network ◽

State Of Charge ◽

Low Speed ◽

Electric Vehicle Battery ◽

State Of Charge Estimation

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Battery State of Charge Estimation Using Adaptive Extended Kalman Filter for Electric Vehicle application

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

10.1109/ipemc-ecceasia48364.2020.9367743 ◽

2020 ◽

Author(s):

Prashant Shrivastava ◽

Tey Kok Soon ◽

Mohd Yamani Idna Bin Idris ◽

Saad Mekhilef

Keyword(s):

Kalman Filter ◽

Electric Vehicle ◽

Extended Kalman Filter ◽

State Of Charge ◽

Battery State Of Charge ◽

Adaptive Extended Kalman Filter ◽

State Of Charge Estimation

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An adaptive Kalman filtering based State of Charge combined estimator for electric vehicle battery pack

Energy Conversion and Management ◽

10.1016/j.enconman.2009.08.015 ◽

2009 ◽

Vol 50 (12) ◽

pp. 3182-3186 ◽

Cited By ~ 80

Author(s):

Wang Junping ◽

Guo Jingang ◽

Ding Lei

Keyword(s):

Electric Vehicle ◽

Kalman Filtering ◽

State Of Charge ◽

Battery Pack ◽

Electric Vehicle Battery

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