油电混合动力汽车不同工况最小油耗控制仿真

Simulation of Minimum Fuel Consumption Control of Hybrid Electric Vehicle under Different Working Conditions

油电混合动力汽车中燃油和电池电能量的使用是影响最小油耗的主要因素。传统控制油电混合动力汽车油耗方法存在设置的SOC门限值不合理问题,导致发动机输出转矩仿真控制效果不佳,因此提出全新的油电混合动力汽车不同工况最小油耗控制仿真。研究采用均值分类法处理基本数据,并将处理数据与汽车行驶工况进行合成;以最小油耗为目标,设置以油耗控制最优问题为核心的SOC门限值;根据发动机输出功率和APU输出功率之间的关系,设计最小油耗仿真控制模型。此次测试共设置5组不同程度的工况,根据测试结果可知:提出的最小油耗控制仿真,对于发动机输出转矩仿真控制,有更好的油耗控制效果,与两种传统方法相比,上述方法在仿真控制下,可以回收的能量比传统方法多出近30%,可见上述方法更加适合控制油电混合动力汽车在不同工况中的油耗。

In the hybrid electric vehicle,the minimum fuel consumption is affected by fuel and battery energy.In the traditional fuel consumption control method,the unreasonable SOC threshold results in a poor engine output torque simulation control effect.Therefore,a novel minimum fuel consumption control simulation of hybrid electric vehicles based on different working conditions is presented.Mean classification was introduced to process basic data.The processed data was combined with the driving conditions of the vehicle.In order to achieve the minimum fuel consumption,the SOC threshold with the optimal fuel consumption control as the core was set.Based on the relationship between engine output power and APU output power,the simulation control model of minimum fuel consumption was designed.In this paper,five groups of different degrees of working conditions were set.The results show that the control method designed in this paper has better fuel consumption control results.The recoverable energy of this method is 30%higher than that of the traditional method,indicating that this method is more suitable for controlling the fuel consumption of hybrid electric vehicles in different working conditions.