Comparison of two control strategies for range extender hybrid electric vehicles

Malika Keldiyarova, S. Ruzimov, A. Bonfitto, A. Mukhitdinov
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Abstract

Drivetrain electrification is widely used as a main solution for road transport carbon emission reduction. Due to range limitation of battery electric vehicles and high cost of batteries, the plug-in and range extender hybrid electric vehicles are seen as an intermediate step in full transition to battery electric vehicles. These vehicles have onboard charging capability using internal combustion engine to generate energy and extend the driving range of the vehicle charging the battery. There is substantial influence of how the power demand is split between battery and generator. This article compares the rule- and optimal operating point-based control strategies applied to range extender hybrid electric vehicles. Results of the developed simulation model in MATLAB/Simulink environment are compared to the experimental results of a 2014 BMW i3 RexHEV, that are available online. The comparison between rule- and optimal operating point-based control strategies highlight that there is still room for improvement for the former one in certain conditions, whereas the use of the latter one gives a clear advantage in some other.
增程器混合动力汽车两种控制策略的比较
动力传动系统电气化作为道路运输碳减排的主要解决方案得到了广泛的应用。由于纯电动汽车的续航里程限制和电池的高成本,插电式和增程式混合动力汽车被视为全面过渡到纯电动汽车的中间步骤。这些车辆具有车载充电功能,使用内燃机产生能量,并延长车辆对电池充电的行驶里程。如何在电池和发电机之间分配电力需求有很大的影响。本文比较了增程式混合动力汽车基于规则和最优工作点的控制策略。在MATLAB/Simulink环境下建立的仿真模型的结果与2014年BMW i3 RexHEV的实验结果进行了比较。通过对基于规则和最优工作点的控制策略的比较,发现基于规则和最优工作点的控制策略在某些条件下仍有改进的空间,而基于规则和最优工作点的控制策略在某些条件下具有明显的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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