Abstract:An adaptive cruise system was proposed based on hierarchical control strategy with an electric vehicle driven by hub motor as research object. Combined with the upper model predictive controller and the lower proportion integral differential (PID) controller, the driving torque output by the hub motor was precisely controlled under complex longitudinal following conditions. Based on the front vehicle acceleration, the variable headway of vehicle spacing strategy was proposed, and the model predictive control (MPC) algorithm was used to solve the expected acceleration of the upper controller. By PID algorithm, the vehicle front axle driving moment was solved to be entered into the lower wheel hub motor controller for realizing front and driving moment distribution, and finally realizing the vehicle longitudinal adaptive cruise. A co-simulation model was established to verify the proposed adaptive cruise hierarchical control strategy for scenarios of uniform forward speed, emergency braking and urban cycle conditions. The results show that the proposed adaptive cruise system control strategy has good car following effect under longitudinal complex driving conditions with small vehicle spacing error, and the acceleration change and motor drive torque change can be synchronized and responded well.
李胜琴, 冯秋实. 轮毂电动机驱动电动汽车自适应巡航系统控制策略[J]. 江苏大学学报(自然科学版), 2023, 44(2): 125-132.
LI Shengqin, FENG Qiushi. Control strategy of adaptive cruise system for electric vehicle driven by hub motor[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2023, 44(2): 125-132.
JONES W D. Keeping cars from crashing[J]. IEEE Spectrum, 2001, 38(9):40-45.
[2]
李世豪. 基于MPC的汽车自适应巡航控制策略研究[D].西安:长安大学,2019.
[3]
赵公旗, 王华, 李佳. 一种全速巡航系统的设计[J].汽车电器,2018(2):4-5.
ZHAO G Q, WANG H, LI J. Design of a full speed ACC[J].Auto Electric Parts,2018(2):4-5.(in Chinese)
[4]
KIM D, MOON S, PARK J,et al. Design of an adaptive cruise control/collision avoidance with lane change support for vehicle autonomous driving[C]∥ICROS-SICE International Joint Conference, 2009:938-943.
ZHANG H, FENG X L. A full speed range adaptive cruise control system state transition mechanism[J].Automobile Applied Technology,2016(5):130-133.(in Chinese)
LENG Y, ZHAO S E. Adaptive cruise control with multi-mode strategy of intelligent vehicle[J]. Journal of Chongqing University of Technology(Natural Science),2020,34(9):73-81.(in Chinese)
GUAN X, WANG J W, GAO Z H. Vehicle adaptive cruise control system based on optimal preview acceleration decision making[J]. Journal of Jilin University(Engineering and Technology Edition), 2004,34(2):189-193.(in Chinese)
WANG Q M, JIANG J Y, LYU Z C,et al. Research on cooperative adaptive cruise control strategy based on improved MPC[J].Journal of System Simulation,2022,34(9):2087-2097.(in Chinese)
SUN Z, ZHAO Q, ZHANG N,et al. Intelligent vehicle multi-objective tracking based on particle swarm algorithm[J].Forest Engineering,2020,36(4):70-75.(in Chinese)
JIN H, LI B H, CHEN H Y. Cruise control for an off-road vehicle with automated mechanical transmission[J]. Transactions of Beijing Institute of Technology,2009,29(12):1067-1071.(in Chinese)