环境风速影响下的汽车能耗智能修正策略研究

Research on Intelligent Correction Strategies for Automotive Energy Consumption under the Influence of Ambient Wind Speed

车辆的行驶速度是影响其能耗的最主要原因,但环境风速也会增加车辆的能量消耗量。本文首先调研当前工况的发展状况,将环境风速、湿度、温度等条件都纳入工况考虑的因素中;然后提出车辆的工况模型,采用车辆智能网联技术获取分解车辆空气阻力能耗所需要的参数;接着采用空气动力学原理推导环境风速对汽车能耗的影响,推导出不同风速等级条件下车辆出行能耗的大小;最后通过某用户的大数据实例分析该用户的环境风阻修正后的能耗分布统计结果。将环境风速的随机加载工况应用于车辆的仿真开发中,在用户的大数据能耗分布分析时可起到积极作用,有利于更合理地改善车辆空气动力学性能。

The driving speed of a vehicle is the main factor affecting its energy consumption,but environmental wind speed also increases the energy consumption of the vehicle.This article first investigates the development status of current operating conditions,taking into account factors such as environmental wind speed,humidity,and temperature;then,a vehicle operating condition model is proposed,and vehicle intelligent networking technology is used to obtain the parameters required to decompose the vehicle's air resistance energy consumption;then,using the principles of aerodynamics,the influence of environmental wind speed on vehicle energy consumption is derived,and the magnitude of vehicle travel energy consumption under different wind speed levels is derived;finally,analyze the statistical results of the energy consumption distribution of a user's environmental wind resistance correction through their big data instance.Applying the random loading conditions of environmental wind speed to the simulation development of vehicles can play a positive role in analyzing the energy consumption distribution of users through big data,which is conducive to improving the aerodynamic performance of vehicles more reasonably.