Research on energy management of model predictive control based on fuzzy control algorithm optimization

Benxiang Lin; Chao Wei; Tao Liu

doi:10.1109/IC2ECS60824.2023.10493305

Research on energy management of model predictive control based on fuzzy control algorithm optimization

Benxiang Lin
, Chao Wei^*
, Tao Liu

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology
National Key Laboratory of Special Vehicle Design and Manufacturing Integration Technology
Inner Mongolia First Machinery Group Co. Ltd.

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

To further improve the efficiency of energy management strategy for heavy-duty Hybrid Electric Vehicle (HEV), taking distributed electric drive heavy-duty Hybrid Electric Vehicle (HEV) as the research object, an energy management strategy combining fuzzy control algorithm and model predictive control (MPC) was proposed, and the length of prediction time domain was optimized by fuzzy algorithm. Simulation results showed that, compared with the fixed time domain model predictive energy management strategy under CHTC-TT working condition, The average time of iteration of the energy management strategy is reduced by about 22.7%, and the fuel consumption per 100 km is reduced by about 2.3%.

源语言	英语
主期刊名	2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1040-1044
页数	5
ISBN（电子版）	9798350382426
DOI	https://doi.org/10.1109/IC2ECS60824.2023.10493305
出版状态	已出版 - 2023
活动	3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 - Hybrid, Hangzhou, 中国期限: 29 12月 2023 → 31 12月 2023

出版系列

姓名	2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

会议

会议	3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
国家/地区	中国
市	Hybrid, Hangzhou
时期	29/12/23 → 31/12/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/IC2ECS60824.2023.10493305

其它文件与链接

链接到 Scopus 的出版物

引用此

Lin, B., Wei, C., & Liu, T. (2023). Research on energy management of model predictive control based on fuzzy control algorithm optimization. 在 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 (页码 1040-1044). (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC2ECS60824.2023.10493305

Lin, Benxiang ; Wei, Chao ; Liu, Tao. / Research on energy management of model predictive control based on fuzzy control algorithm optimization. 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 1040-1044 (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023).

@inproceedings{4cba9350c720448c890d911694f1c240,

title = "Research on energy management of model predictive control based on fuzzy control algorithm optimization",

abstract = "To further improve the efficiency of energy management strategy for heavy-duty Hybrid Electric Vehicle (HEV), taking distributed electric drive heavy-duty Hybrid Electric Vehicle (HEV) as the research object, an energy management strategy combining fuzzy control algorithm and model predictive control (MPC) was proposed, and the length of prediction time domain was optimized by fuzzy algorithm. Simulation results showed that, compared with the fixed time domain model predictive energy management strategy under CHTC-TT working condition, The average time of iteration of the energy management strategy is reduced by about 22.7\%, and the fuel consumption per 100 km is reduced by about 2.3\%.",

keywords = "Energy Management Strategy, RBF, fuzzy control algorithm, model predictive control",

author = "Benxiang Lin and Chao Wei and Tao Liu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 ; Conference date: 29-12-2023 Through 31-12-2023",

year = "2023",

doi = "10.1109/IC2ECS60824.2023.10493305",

language = "English",

series = "2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1040--1044",

booktitle = "2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023",

address = "United States",

}

Lin, B, Wei, C & Liu, T 2023, Research on energy management of model predictive control based on fuzzy control algorithm optimization. 在 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023, Institute of Electrical and Electronics Engineers Inc., 页码 1040-1044, 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023, Hybrid, Hangzhou, 中国, 29/12/23. https://doi.org/10.1109/IC2ECS60824.2023.10493305

Research on energy management of model predictive control based on fuzzy control algorithm optimization. / Lin, Benxiang; Wei, Chao; Liu, Tao.
2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 1040-1044 (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Research on energy management of model predictive control based on fuzzy control algorithm optimization

AU - Lin, Benxiang

AU - Wei, Chao

AU - Liu, Tao

PY - 2023

Y1 - 2023

N2 - To further improve the efficiency of energy management strategy for heavy-duty Hybrid Electric Vehicle (HEV), taking distributed electric drive heavy-duty Hybrid Electric Vehicle (HEV) as the research object, an energy management strategy combining fuzzy control algorithm and model predictive control (MPC) was proposed, and the length of prediction time domain was optimized by fuzzy algorithm. Simulation results showed that, compared with the fixed time domain model predictive energy management strategy under CHTC-TT working condition, The average time of iteration of the energy management strategy is reduced by about 22.7%, and the fuel consumption per 100 km is reduced by about 2.3%.

AB - To further improve the efficiency of energy management strategy for heavy-duty Hybrid Electric Vehicle (HEV), taking distributed electric drive heavy-duty Hybrid Electric Vehicle (HEV) as the research object, an energy management strategy combining fuzzy control algorithm and model predictive control (MPC) was proposed, and the length of prediction time domain was optimized by fuzzy algorithm. Simulation results showed that, compared with the fixed time domain model predictive energy management strategy under CHTC-TT working condition, The average time of iteration of the energy management strategy is reduced by about 22.7%, and the fuel consumption per 100 km is reduced by about 2.3%.

KW - Energy Management Strategy

KW - RBF

KW - fuzzy control algorithm

KW - model predictive control

UR - https://www.scopus.com/pages/publications/85191437124

U2 - 10.1109/IC2ECS60824.2023.10493305

DO - 10.1109/IC2ECS60824.2023.10493305

M3 - Conference contribution

AN - SCOPUS:85191437124

T3 - 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

SP - 1040

EP - 1044

BT - 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

Y2 - 29 December 2023 through 31 December 2023

ER -

Lin B, Wei C, Liu T. Research on energy management of model predictive control based on fuzzy control algorithm optimization. 在 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 1040-1044. (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023). doi: 10.1109/IC2ECS60824.2023.10493305

Research on energy management of model predictive control based on fuzzy control algorithm optimization

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此