Energy management strategy for hybrid electric tracked vehicle based on dynamic programming

Rui Chen; Yuan Zou; Shi Jie Hou

doi:10.1007/978-3-642-21765-4_105

Energy management strategy for hybrid electric tracked vehicle based on dynamic programming

Rui Chen^*, Yuan Zou, Shi Jie Hou

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

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

10 Citations (Scopus)

Abstract

The dynamic programming (DP) theory is applied in designing energy management control strategy of Hybrid Tracked Vehicle. As hybrid tracked vehicles use dual-energy sources, the engine-generator sets and power batteries. We applied the dynamic programming theory to optimize the distribution between the dual-energy sources, so we can make the fuel consumption minimize. Through the analysis of the optimization results, near-optimal rules are extracted. Then we do some simulations to verify the control rules based on MATLAB software. It was found that the fuel economic performance improved significant, compared to former rule-based control strategy.

Original language	English
Title of host publication	Electrical Engineering and Control - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011
Pages	843-851
Number of pages	9
Edition	VOL. 2
DOIs	https://doi.org/10.1007/978-3-642-21765-4_105
Publication status	Published - 2011
Event	2011 International Conference on Electric and Electronics, EEIC 2011 - Nanchang, China Duration: 20 Jun 2011 → 22 Jun 2011

Publication series

Name	Lecture Notes in Electrical Engineering
Number	VOL. 2
Volume	98 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2011 International Conference on Electric and Electronics, EEIC 2011
Country/Territory	China
City	Nanchang
Period	20/06/11 → 22/06/11

Keywords

dynamic programming
energy management
hybrid tracked vehicle

Access to Document

10.1007/978-3-642-21765-4_105

Cite this

Chen, R., Zou, Y., & Hou, S. J. (2011). Energy management strategy for hybrid electric tracked vehicle based on dynamic programming. In Electrical Engineering and Control - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011 (VOL. 2 ed., pp. 843-851). (Lecture Notes in Electrical Engineering; Vol. 98 LNEE, No. VOL. 2). https://doi.org/10.1007/978-3-642-21765-4_105

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title = "Energy management strategy for hybrid electric tracked vehicle based on dynamic programming",

abstract = "The dynamic programming (DP) theory is applied in designing energy management control strategy of Hybrid Tracked Vehicle. As hybrid tracked vehicles use dual-energy sources, the engine-generator sets and power batteries. We applied the dynamic programming theory to optimize the distribution between the dual-energy sources, so we can make the fuel consumption minimize. Through the analysis of the optimization results, near-optimal rules are extracted. Then we do some simulations to verify the control rules based on MATLAB software. It was found that the fuel economic performance improved significant, compared to former rule-based control strategy.",

keywords = "dynamic programming, energy management, hybrid tracked vehicle",

author = "Rui Chen and Yuan Zou and Hou, \{Shi Jie\}",

year = "2011",

doi = "10.1007/978-3-642-21765-4\_105",

language = "English",

isbn = "9783642217647",

series = "Lecture Notes in Electrical Engineering",

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booktitle = "Electrical Engineering and Control - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011",

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Chen, R, Zou, Y & Hou, SJ 2011, Energy management strategy for hybrid electric tracked vehicle based on dynamic programming. in Electrical Engineering and Control - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011. VOL. 2 edn, Lecture Notes in Electrical Engineering, no. VOL. 2, vol. 98 LNEE, pp. 843-851, 2011 International Conference on Electric and Electronics, EEIC 2011, Nanchang, China, 20/06/11. https://doi.org/10.1007/978-3-642-21765-4_105

Energy management strategy for hybrid electric tracked vehicle based on dynamic programming. / Chen, Rui; Zou, Yuan; Hou, Shi Jie.
Electrical Engineering and Control - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011. VOL. 2. ed. 2011. p. 843-851 (Lecture Notes in Electrical Engineering; Vol. 98 LNEE, No. VOL. 2).

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

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AB - The dynamic programming (DP) theory is applied in designing energy management control strategy of Hybrid Tracked Vehicle. As hybrid tracked vehicles use dual-energy sources, the engine-generator sets and power batteries. We applied the dynamic programming theory to optimize the distribution between the dual-energy sources, so we can make the fuel consumption minimize. Through the analysis of the optimization results, near-optimal rules are extracted. Then we do some simulations to verify the control rules based on MATLAB software. It was found that the fuel economic performance improved significant, compared to former rule-based control strategy.

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Energy management strategy for hybrid electric tracked vehicle based on dynamic programming

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