A Dynamic Programming Method for Energy Output Optimization of New Energy Vehicles

In the research process, energy output has always been a hot issue. The standard energy monitoring method cannot solve the output optimization problem of new energy vehicles, and the output results change greatly. Therefore, this paper proposes a dynamic programming method and constructs a parameter model of energy output. Firstly, the parameters of new energy vehicles are classified by planning theory, which simplifies the analysis process of energy output data. Then, the energy output is dynamically analyzed, and the output set of new energy vehicles is constructed, and the multi-dimensional analysis is carried out on the set. MATLAB simulation results show that the dynamic programming method is superior to the standard energy monitoring method in the accuracy of analysis results, the stability of output data and the calculation time when the output power is constant. In addition, the dynamic programming method proposed in this paper can adjust the output energy, power and other accessories of new energy vehicles, and improve the accuracy of energy output, so that it can be controlled above 90%. At the same time, improve the utilization rate of battery energy, control it above 92%, and reduce the influence of other accessories on output energy. Therefore, the dynamic programming method can carry out multi-dimensional analysis on the energy output, and meet the optimization requirements of the output in new energy vehicles area.

I. Introduction

As the development trend and direction of future automobiles [1], new energy vehicles have always been a hot issue in the field of automobiles [2]. However, the energy output has always been the bottleneck of the development of this field [3], and limits the development potential in new energy vehicles area [4]. How to effectively improve the output power of new energy vehicles and optimize related parameters is an urgent problem to be solved at present [5]. According to the survey data in 2022 [6], the sales volume reach in 5% of gasoline vehicles, an increase of 15% in one year [7]. Moreover, the market demand for new energy vehicles is increasing day by day [8]. Some scholars believe that applying intelligent analysis to optimize the energy output [9], which can not only dynamically adjust the output power [10], but also improve the mileage and prolong the service life [11]. The main research contents of this paper include: describing the energy output problem of new energy vehicles, and classifying the related data. Secondly, the output problem of new energy vehicles is quantified to form quantitative data based on mathematical formulas. Finally, the dynamic programming method is used to describe the output of new energy vehicles, and the optimization results of this method on vehicle energy output are analyzed. Therefore, based on the dynamic programming method, this paper analyzes the output problem of new energy vehicles, which realizes the effective optimization of energy output through multi-dimensional parameter adjustment, and verifies the results through actual cases.