TY - GEN
T1 - A research on the adaptive cruise controller for electric bus
AU - Li, Xiaoliang
AU - Zhang, Xudong
AU - Zou, Yuan
AU - Zhang, Tao
AU - Wei, Shouyang
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2020.
PY - 2020
Y1 - 2020
N2 - The intelligent trend of vehicles became irresistible, and the application of adaptive cruise control systems to different vehicles, especially to electric vehicles, became a trend. The application of adaptive cruise control systems played a significant role in environmental protection, road-traffic efficiency and safety. In this paper, we proposed a hierarchical controller for the adaptive cruise system of the electric bus. Based on millimeter wave radar, target tracking and recognition algorithms for straight and curved conditions had been performed. In the upper controller, a proportional differential control algorithm had been adopted based on the vehicle spacing with variable time-headway, and its stability had been proved. In the lower level controller, the lookup table for acceleration and braking had been designed based on test data and a switching rule for acceleration and braking had been formulated. The results of offline simulation and hardware-in-loop (HIL) simulation showed that the adaptive cruise controller designed with mature control strategy can achieve faster and more accurate control response, real-time performance and was suitable for application on real vehicles.
AB - The intelligent trend of vehicles became irresistible, and the application of adaptive cruise control systems to different vehicles, especially to electric vehicles, became a trend. The application of adaptive cruise control systems played a significant role in environmental protection, road-traffic efficiency and safety. In this paper, we proposed a hierarchical controller for the adaptive cruise system of the electric bus. Based on millimeter wave radar, target tracking and recognition algorithms for straight and curved conditions had been performed. In the upper controller, a proportional differential control algorithm had been adopted based on the vehicle spacing with variable time-headway, and its stability had been proved. In the lower level controller, the lookup table for acceleration and braking had been designed based on test data and a switching rule for acceleration and braking had been formulated. The results of offline simulation and hardware-in-loop (HIL) simulation showed that the adaptive cruise controller designed with mature control strategy can achieve faster and more accurate control response, real-time performance and was suitable for application on real vehicles.
KW - Adaptive cruise control
KW - Electric bus
KW - Hardware-in-loop
KW - Object identification
UR - https://www.scopus.com/pages/publications/85090095428
U2 - 10.1007/978-981-13-9718-9_31
DO - 10.1007/978-981-13-9718-9_31
M3 - Conference contribution
AN - SCOPUS:85090095428
SN - 9789811397172
T3 - Lecture Notes in Electrical Engineering
SP - 415
EP - 432
BT - Proceedings of China SAE Congress 2018, Selected Papers
PB - Springer
T2 - China Society of Automotive Engineers Congress, SAE-China 2018
Y2 - 6 November 2018 through 8 November 2018
ER -