Energy-saving Optimization Control for Connected Automated Electric Vehicles: State of the Art and Perspective

Improving the energy efficiency of electric vehicles and reducing the power consumption are major demands for the development of China＇s new energy vehicle industry. With the development of CAEV (connected automated electric vehicle), V2X (vehicle to everything) network information and various on-board sensors such as lidar, millimeter-wave radar, camera, positioning and navigation devices which provide CAEVs with a comprehensive information interaction, sharing and state perception capabilities, and endowed it with a huge potential for energy-saving optimization. Aiming at the energy-saving optimization control problem of CAEV, the typical loss characteristics of electric vehicles are firstly analyzed from the six links of power battery, motor controller, drive motor, transmission mechanism, tires and driving decision-making, and the energy conversion process and coupling relationship of CAEV are analyzed from three levels of decision-making, control and execution, as well as the energy-saving impact of network connection information on CAEV; Then, from the three aspects of vehicle speed optimization at the decision-making level, driving/braking torque optimization control at the control level, and current vector optimization control at the action level, the energy-saving optimization problems at each level are expounded, and the research works at home and abroad are analyzed in detail; Finally, we summarized the difficulties of energy-saving optimal control of CAEV at the decision-making level, the control level and the action level, as well as the characteristics of the existing research works, and the future development trend is prospected. © 2023 Science Press. All rights reserved.