TY - GEN
T1 - Hierarchical Optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information
AU - Han, Kyoungseok
AU - Li, Nan
AU - Kolmanovsky, Ilya
AU - Girard, Anouck
AU - Wang, Yan
AU - Filev, Dimitar
AU - Dai, Edward
N1 - Publisher Copyright:
© 2020 AACC.
PY - 2020/7
Y1 - 2020/7
N2 - This paper addresses the hierarchical optimization of speed and gearshift control for battery electric vehicles using short-range traffic information. To achieve greater electric motor efficiency, a multi-speed transmission is employed, whose control involves discrete-valued gearshift signals. To overcome the computational difficulties in solving the integrated speed-and-gearshift optimal control problem that involves both continuous and discrete-valued optimization variables, we propose a hierarchical procedure to decompose the integrated hybrid problem into purely continuous and discrete sub-problems, each of which can be efficiently solved. We show, by simulations in various driving scenarios, that the hierarchical optimization of speed and gearshift control can achieve greater energy efficiency than other typical approaches.
AB - This paper addresses the hierarchical optimization of speed and gearshift control for battery electric vehicles using short-range traffic information. To achieve greater electric motor efficiency, a multi-speed transmission is employed, whose control involves discrete-valued gearshift signals. To overcome the computational difficulties in solving the integrated speed-and-gearshift optimal control problem that involves both continuous and discrete-valued optimization variables, we propose a hierarchical procedure to decompose the integrated hybrid problem into purely continuous and discrete sub-problems, each of which can be efficiently solved. We show, by simulations in various driving scenarios, that the hierarchical optimization of speed and gearshift control can achieve greater energy efficiency than other typical approaches.
UR - http://www.scopus.com/inward/record.url?scp=85089564959&partnerID=8YFLogxK
U2 - 10.23919/ACC45564.2020.9147841
DO - 10.23919/ACC45564.2020.9147841
M3 - Conference contribution
AN - SCOPUS:85089564959
T3 - Proceedings of the American Control Conference
SP - 4913
EP - 4919
BT - 2020 American Control Conference, ACC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 American Control Conference, ACC 2020
Y2 - 1 July 2020 through 3 July 2020
ER -
