Radar sharing energy-saving control strategy for intelligent hybrid electric vehicle

XIE Laiqing; ZHANG Donghao; LUO Yugong; CHEN Rui; LI Keqiang

doi:10.16511/j.cnki.qhdxxb.2018.21.004

PDF(2906 KB)

Journal of Tsinghua University(Science and Technology) ›› 2018, Vol. 58 ›› Issue (3) : 286-291,297. DOI: 10.16511/j.cnki.qhdxxb.2018.21.004

AUTOMOTIVE ENGINEERING

Radar sharing energy-saving control strategy for intelligent hybrid electric vehicle

{{article.zuoZhe_EN}}

Author information +

History +

Abstract

A radar sharing based energy-saving control method was developed for intelligent hybrid electric vehicles to reduce energy loss caused by designs for fixed working conditions that disregard the actual running environment. Four scenarios were developed base on the relative motion of the vehicle in front of this vehicle. The motor drive torque was optimized with regenerative braking by the motor added for some scenarios. These control strategies reduce the hybrid electric vehicle energy use without adding extra hardware cost. Tests on different road conditions show that this intelligent energy-saving control strategy provides large energy savings especially on congested urban roads.

Key words

intelligent hybrid electric vehicle / structure sharing / radar information / energy-saving control strategy

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

XIE Laiqing, ZHANG Donghao, LUO Yugong, CHEN Rui, LI Keqiang. Radar sharing energy-saving control strategy for intelligent hybrid electric vehicle[J]. Journal of Tsinghua University(Science and Technology). 2018, 58(3): 286-291,297 https://doi.org/10.16511/j.cnki.qhdxxb.2018.21.004

References

[1] CHAN C C, BOUSCAYROL A, CHEN K Y. Electric, hybrid, and fuel-cell vehicles:Architectures and modeling[J]. IEEE Transactions on Vehicular Technology, 2010, 59(2):589-598.
[2] 赵秀春, 郭戈. 混合动力电动汽车能量管理策略研究综述[J]. 自动化学报, 2016, 42(3):321-334. ZHAO X C, GUO G. Survey on energy management strategies for hybrid electric vehicles[J]. Acta Automatica Sinica, 2016, 42(3):321-334. (in Chinese)
[3] 潘龙. 基于动态交通信息的电动汽车节能行驶控制模型研究[D]. 北京:北京交通大学, 2014:9-12. PAN L. Study on energy-saving driving control model for electric vehicle based on dynamic traffic information[D]. Beijing, China:Beijing Jiaotong University, 2014:9-12. (in Chinese)
[4] Edmunds. We test the tips. (2009-05-05). http://www.Edmunds.com/fuel-economy/we-test-the-tips.html.
[5] BARTH M, BORIBOONSOMSIN K. Energy and emissions impacts of a freeway-based dynamic eco-driving system[J]. Transportation Research Part D:Transport and Environment, 2009, 14(6):400-410.
[6] GROSSARD M, KACHROUDI S, ABROUG N. An optimal energy-based approach for driving guidance of full electric vehicles[C]//Proceedings of 2012 IEEE International Symposium on Industrial Electronics (ISIE). Hangzhou, China:IEEE, 2012:1708-1713.
[7] KURIYAMA M, YAMAMOTO S, MIYATAKE M. Theoretical study on eco-driving technique for an electric vehicle with dynamic programming[C]//Proceedings of 2010 International Conference on Electrical Machines and Systems (ICEMS). Incheon, Korea:IEEE, 2010:2026-2030.
[8] MIYATAKE M, KURIYAMA M, TAKEDA Y. Theoretical study on eco-driving technique for an electric vehicle considering traffic signals[C]//Proceedings of 2011 IEEE Ninth International Conference on Power Electronics and Drive Systems (PEDS). Singapore:IEEE, 2011:733-738.
[9] MENSING F, TRIGUI R, BIDEAUX E. Vehicle trajectory optimization for application in ECO-driving[C]//Proceedings of 2011 IEEE Vehicle Power and Propulsion Conference (VPPC). Chicago, IL:IEEE, 2011:1-6.
[10] WU C X, ZHAO G Z, OU B. A fuel economy optimization system with applications in vehicles with human drivers and autonomous vehicles[J]. Transportation Research Part D:Transport and Environment, 2011, 16(7):515-524.
[11] VAN KEULEN T, DE JAGER B, FOSTER D, et al. Velocity trajectory optimization in hybrid electric trucks[C]//Proceedings of 2010 American Control Conference. Baltimore, MD:IEEE, 2010:5074-5079.
[12] RAKHA H, KAMALANATHSHARMA R K. Eco-driving at signalized intersections using V2I communication[C]//Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems. Washington DC, USA:IEEE, 2011:341-346.
[13] BHAVSAR P, HE Y M, CHOWDHURY M, et al. Energy consumption reduction strategies for plug-in hybrid electric vehicles with connected vehicle technology in urban areas[J]. Transportation Research Record:Journal of the Transportation Research Board, 2014, 2424(1):29-38.
[14] LANG D, SCHMIED R, DEL RE L. Prediction of preceding driver behavior for fuel efficient cooperative adaptive cruise control[J]. Simulation & Modeling, 2014, 7(1):14-20.
[15] ZHANG S W, ZHANG D H, LUO Y G, et al. Predictive energy management strategy for electric vehicles based on estimation of preceding vehicle future movements[C]//Proceedings of 2016 IEEE International Conference on Advanced Intelligent Mechatronics. Banff, AB:IEEE, 2016:1436-1441.
[16] CHAKRABARTI A. A new approach to structure sharing[J]. Journal of Computing and Information Science in Engineering, 2004, 4(1):11-19.
[17] LI K Q, CHEN T, LUO Y G, et al. Intelligent environment-friendly vehicles:Concept and case studies[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(1):318-328.