Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission

Hui Liu; Shanshan Xiong; Tian Ma; Lijin Han; Zhang Donghao

doi:10.1109/ITEC-AP.2014.6940705

Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission

Hui Liu
, Shanshan Xiong
, Tian Ma
, Lijin Han
, Zhang Donghao

机械与车辆学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

According to the uncertainty of road condition and electricity demands of heavy-duty vehicles with Electro-mechanical Transmission in driving processes, a Markov model regarding driver's power demands is built and an optimal power control strategy based on stochastic dynamic programming (SDP) is proposed, establishing power balance dynamic models of engine, motor/generator and batteries. For the optimal performance function projected by goals of fuel economy, Markov decision procedure is established and solved by the strategy iterative method, and the optimal control strategy is achieved. The rationality of control strategy is verified by the forward simulation results.

源语言	英语
主期刊名	IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781479942398
DOI	https://doi.org/10.1109/ITEC-AP.2014.6940705
出版状态	已出版 - 30 10月 2014
活动	2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Beijing, 中国期限: 31 8月 2014 → 3 9月 2014

丛书

姓名	IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings

会议

会议	2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014
国家/地区	中国
市	Beijing
时期	31/08/14 → 3/09/14

访问文件

10.1109/ITEC-AP.2014.6940705

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, H., Xiong, S., Ma, T., Han, L., & Donghao, Z. (2014). Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission. 在 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings 期刊论文 6940705 (IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC-AP.2014.6940705

Liu, Hui ; Xiong, Shanshan ; Ma, Tian 等. / Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission. IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. (IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings).

@inproceedings{fed29347b15c4fadba8a71c96b3f0dcc,

title = "Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission",

abstract = "According to the uncertainty of road condition and electricity demands of heavy-duty vehicles with Electro-mechanical Transmission in driving processes, a Markov model regarding driver's power demands is built and an optimal power control strategy based on stochastic dynamic programming (SDP) is proposed, establishing power balance dynamic models of engine, motor/generator and batteries. For the optimal performance function projected by goals of fuel economy, Markov decision procedure is established and solved by the strategy iterative method, and the optimal control strategy is achieved. The rationality of control strategy is verified by the forward simulation results.",

author = "Hui Liu and Shanshan Xiong and Tian Ma and Lijin Han and Zhang Donghao",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 ; Conference date: 31-08-2014 Through 03-09-2014",

year = "2014",

month = oct,

day = "30",

doi = "10.1109/ITEC-AP.2014.6940705",

language = "English",

series = "IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings",

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

booktitle = "IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings",

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}

Liu, H, Xiong, S, Ma, T, Han, L & Donghao, Z 2014, Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission. 在 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings., 6940705, IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014, Beijing, 中国, 31/08/14. https://doi.org/10.1109/ITEC-AP.2014.6940705

Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission. / Liu, Hui; Xiong, Shanshan; Ma, Tian 等.
IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 6940705 (IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings).

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 optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission

AU - Liu, Hui

AU - Xiong, Shanshan

AU - Ma, Tian

AU - Han, Lijin

AU - Donghao, Zhang

PY - 2014/10/30

Y1 - 2014/10/30

N2 - According to the uncertainty of road condition and electricity demands of heavy-duty vehicles with Electro-mechanical Transmission in driving processes, a Markov model regarding driver's power demands is built and an optimal power control strategy based on stochastic dynamic programming (SDP) is proposed, establishing power balance dynamic models of engine, motor/generator and batteries. For the optimal performance function projected by goals of fuel economy, Markov decision procedure is established and solved by the strategy iterative method, and the optimal control strategy is achieved. The rationality of control strategy is verified by the forward simulation results.

AB - According to the uncertainty of road condition and electricity demands of heavy-duty vehicles with Electro-mechanical Transmission in driving processes, a Markov model regarding driver's power demands is built and an optimal power control strategy based on stochastic dynamic programming (SDP) is proposed, establishing power balance dynamic models of engine, motor/generator and batteries. For the optimal performance function projected by goals of fuel economy, Markov decision procedure is established and solved by the strategy iterative method, and the optimal control strategy is achieved. The rationality of control strategy is verified by the forward simulation results.

UR - https://www.scopus.com/pages/publications/84916232444

U2 - 10.1109/ITEC-AP.2014.6940705

DO - 10.1109/ITEC-AP.2014.6940705

M3 - Conference contribution

AN - SCOPUS:84916232444

T3 - IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings

BT - IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014

Y2 - 31 August 2014 through 3 September 2014

ER -

Liu H, Xiong S, Ma T, Han L, Donghao Z. Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission. 在 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6940705. (IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings). doi: 10.1109/ITEC-AP.2014.6940705

Research on optimal power allocation control strategy for heavy-duty vehicle with Electro-mechanical Transmission

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