基于实际场景的电动汽车能量回收优化研究

Research on Energy Recovery Optimization of Electric Vehicles based on Driving Scenarios

  • 摘要: 为降低整车能耗并提升续驶里程,该文以某款纯电动汽车的能量回收系统为研究对象展开研究,通过对比传统电动车的真空助力制动系统和智能制动系统,优化了不同系统的制动能量回收扭矩策略,并分析了两种制动系统的能量回收率。在对中国工况进行分析的基础上引入实际驾驶场景路况,通过仿真分析和台架测试对整车能耗和能量回收率进行了对比。结果表明:中国工况和实际驾驶场景工况智能制动系统的能量回收率比真空助力制动系统分别高1.4%和1.1%,整车百公里电耗分别降低0.7%和0.6%,达到了降低整车能耗的目的。

     

    Abstract: In order to reduce the vehicle energy consumption and improve the driving range, this paper takes the energy recovery system of a pure electric vehicle as the research object, compares the vacuum assisted braking system (EVP) and intelligent electro-hydraulic braking system (ibooster) of traditional electric vehicles, optimizes the braking energy recovery torque strategies of different systems, and analyzes the energy recovery rates of the two braking systems. On the basis of the analysis of Chinese operating conditions (CLTC-P), the actual driving scenario (R-cycle) road conditions are introduced, and the vehicle energy consumption and energy recovery rate are compared through simulation analysis and bench test. The results show that the energy recovery rate of ibooster under CLTC-P and R-cycle conditions is 1.4% and 1.1% higher than that of EVP, and the power consumption of the vehicle per 100 km is reduced by 0.7% and 0.6% respectively, achieving the purpose of reducing the energy consumption of the vehicle.

     

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