基于行驶工况的插电式混合动力公交车控制参数自动化标定方法

为解决行驶工况下插电式混合动力汽车控制参数仿真标定过程中标定参数选取缺少科学性和人工实时在线标定效率较低等问题，提出一种面向任意行驶工况的控制参数自动化标定方法。基于实际公交行驶工况，设计了正交试验对控制策略参数的油耗影响度进行分析，选取5个影响度较大的控制参数作为标定参数。利用优化算法自主寻优特性代替人工分析结果和调整参数，构建控制参数优化模型。利用Cruise、MicroAutoBox、Isight等工具开发出控制参数自动化标定的实时仿真平台。仿真结果表明：与人工标定相比，相同标定次数下自动化标定的时间缩短了75.51%，通过合理的转矩分配，减小了超级电容SOC的波动，标定后控制策略百公里燃油消耗降低了12.30％，从而验证了该标定方法的可行性。

Automatic Calibration Method for PHEB Control Parameters Based on Driving Cycles

In order to solve the problems of lack of scientific selection of calibration parameters and low efficiency of manual real-time calibration in simulation calibration processes of the control parameters of PHEBs under driving cycles, an automatic calibration method of control parameters was proposed in any driving cycles. Based on the actual bus driving cycles, an orthogonal experiment was designed to analyze the fuel consumption impact of control strategy parameters, and five control parameters with greater impacts were selected as calibration parameters. An optimization model of control parameters was constructed by using self-optimizing characteristics of optimization algorithm instead of manual analysis results and adjusting parameters. Real-time simulation platform for automatic calibration of control parameters was developed using Cruise, MicroAutoBox, Isight and other tools. Simulation results show that under the same calibration times, the time of automatic calibration is shortened by 75.51% compared with that of manual calibration. The fluctuation of supercapacitor SOC is reduced due to the reasonable torque distribution, and the fuel consumption of control strategy is reduced by 12.30% after automatic calibration. These results verify the feasibility of the calibration method herein.