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

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479942398
DOIs	https://doi.org/10.1109/ITEC-AP.2014.6940705
Publication status	Published - 30 Oct 2014
Event	2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Beijing, China Duration: 31 Aug 2014 → 3 Sept 2014

Publication series

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

Conference

Conference	2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014
Country/Territory	China
City	Beijing
Period	31/08/14 → 3/09/14

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10.1109/ITEC-AP.2014.6940705

Cite this

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. In IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings Article 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 et al. / 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).

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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",

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

language = "English",

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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. in 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, China, 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 et al.
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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

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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. In 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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