Journal of Auto-vehicle Safety Association (자동차안전학회지)

Korean Auto-vehicle Safety Association (한국자동차안전학회)
권호 표지
DOI QR코드

DOI QR Code

Eco-Speed Control Strategy for Automated Electric Vehicles on Urban Road

도심환경에서의 전기자동차 친환경 자율주행 속도제어 전략

  • 허슬기 (서울대학교 차량동역학 및 제어연구실) ;
  • 정용환 (서울대학교 차량동역학 및 제어연구실) ;
  • 이경수 (서울대학교 차량동역학 및 제어연구실)
  • Received : 2018.01.29
  • Accepted : 2018.03.15
  • Published : 2018.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes autonomous speed control strategy for an Electric Vehicle on urban road. SNU campus road is used to reperesent urban road situation. Motor efficiency of driving on campus circulation road can be improved by controlling velocity properly. Given information of campus road, especially slope of road, acceleration is selected from candidate, considering consumed power, human factor and driving time. To apply urban situation, preceding vehicle is also considered. With preceding vehicle, acceleration is defined according to clearance and relative velocity. Acceleration is bounded in normal range. Proposed acceleration control method is activated with proper velocity range for campus circulation road. With acceleration control, motor efficiency becomes better than driving with constant vehicle. To evaluate the performance of proposed acceleration controller, simulation study is conducted via MATLAB.

Keywords

References

  1. Wayne Moore, Matthew Foster, M. Lai, X. Xie, Y. Zheng and Atsushi Matsumoto, 2011, Charge motion benefits of valve deactivation to reduce fuel consumption and emissions in a GDi, VVA engine, SAE Technical paper.
  2. Valerio Turri and Yeojun Kim, 2017, A model predictive controller for non-cooperative eco-platooning, American Control Conference.
  3. Qiu Jin, Guoyuan Wu, Kanok Boriboonsomsin, and Matthew J. Barth, 2016, Power-based optimal longitudinal control for a connected eco-driving system, IEEE Transactions on intelligent transportation systems, Vol. 17, No. 10.
  4. Naehyuck Chang, Donkyu Baek and Jeongmin Hong, 2014, Power consumption characterization, modeling, and estimation of electric vehicles, Computer-Aided Design (ICCAD).
  5. Bijan Sakhdari, Mahyar Vajedi and Nasser L. Azad, 2016, Ecological adaptive cruise control of a plug-in hybrid electric vehicle for urban driving, 19th International conference on intelligent transportation systems (ITSC).
  6. Abdus Samad Kamal, Masakazu Mukai, Junichi Murata and Taketoshi Kawabe, 2013, Model predictive control of vehicles on urban roads for improved fuel economy, IEEE transactions on control systems technology, Vol. 21, No. 3.
  7. M.A.S. Kamal, M. Mukai, J. Murata and T. Kawabe, 2009, Development of ecological driving system using model predictive control, ICROS-SICE International joint conference.
  8. M.A.S. Kamal, Masakazu Mukai, Junichi Murata and Taketoshi Kawabe, 2011, Ecological vehicle control on roads with up-down slopes, IEEE transactions on intelligent transportation systems, Vol. 12, No. 3.
  9. Sinan Oncu, Jeroen Ploeg, Nathan van de Wouw and Henk Nijmeijer, 2014, Cooperative adaptive cruise control: network-aware analysis of string stability, IEEE transactions on intelligent transportation systems, Vol. 15, No. 4.
  10. Roman Schmied, Harald Waschl, Rien Quirynen, Moritz Diehl and Luigi del Re, 2015, Nonlinear MPC for emission efficient cooperative adaptive cruise control, International Federation of Automatic Control (IFAC).