新能源汽车节能规划与控制技术研究综述

Improving the energy-saving effect of new energy vehicles through vehicle motion planning and control has become a key research focus at home and abroad. This paper summarizes the latest research status of energy-saving planning and control technology for new energy vehicles, and analyzes the eco-routing, eco-driving, eco-charging, energy management and multi-task optimization techniques involving multiple fields above. The study found that although the current energy-saving planning and control technology for new energy vehicles has made considerable research progress, it is difficult to solve the problem in dynamic or random traffic behavior scenarios, and the integrated and collaborative optimization, which considers deeply related behaviors such as path, speed and charging, remains to be explored, and the high-value research results also need to develop from experimental verification to industrial application. This paper proposes that the future development trends of energy-saving planning and control technology for new energy vehicles include: 1) new problems considering the time-varying environment and random behaviors; 2) new algorithms using advanced prediction and efficient solutions; 3) new methods to systematically solve multi-vehicle, multi-task and multidimensional problems; 4) new applications that can be replicated and promoted in real scenarios. studying and solving the above problems is of great significance to achieve a higher level of energy-saving control of new energy vehicles.