为了准确评估电动客车在特定公交路线上运营的可行性，基于香港53路公交路谱数据，采用速度加速度概率分布统计的方法构建了时长为1 800 s的驾驶循环，以此为基础在Matlab/Simulink环境下对电动客车开展了性能仿真研究，并与实测结果对比，最终确认本研究方法和结果的合理性。结果显示，车辆在自定义驾驶循环下的行驶里程较C-WTVC循环工况长约22.6 km，而百公里电耗少了20.8 kW·h。实测结果与自定义工况下的仿真结果偏差小于4.2%，而与C-WTVC工况下的结果偏差大于13.0%，说明自定义循环下电动汽车的性能与实际路试结果有着更高的吻合度。本研究所开发的研究方法，能为新能源电动汽车在不同环境下的道路适应性研究，尤其是对于目标出口地区的路况，提供重要的理论支撑。
To accurately evaluate the feasibility of operating
pure electric bus on specific routes, a driving cycle with 1 800 s was defined
with the method of speed-acceleration probability
distribution statistics based on Hongkong No.53 bus routine spectrum data. Then
the vehicle performance was studied with simulation method in Matlab/Simulink,
and compared with the actual results. The rationality of the methodology and
results was finally confirmed. The results show that the driving range of the
vehicle under the customized driving cycle is about 22.6 km longer than that
under the C-WTVC cycle, and the electricity consumption
of 100 km is 20.8 kW·h less.The deviation of the
measured results from the simulation results under the customized conditions is
less than 4.2%, and the deviation from the results under the C-WTVC conditions is more than 13.0%, which indicates that the
performance of the electric vehicle under the customized cycle has a higher
degree of conformity to the results of real road test. The developed research
method can provide important theoretical support for the road adaptability
study of new energy electric vehicles in different environments, especially for
the road conditions in the target export area.
