Rapid-prototyping designs for the three-power-source hybrid electric scooter with a fuzzy-control energy management

C. Wu, Y. Hung, Syuan-Yi Chen
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引用次数: 3

Abstract

This study mainly develops a hardware-in-the-loop (HIL) platform for a hybrid electric scooter (HES). The fuzzy control strategy is utilized for the energy management among three power sources. A low-order scooter dynamics is constructed including subsystems such as the spark-ignition engine, high-power traction motor, integrated starter-generator (ISG), high-power battery module, transmission, longitudinal vehicle dynamics, etc. For energy management of three power sources, the 73-rule fuzzy control is designed and compared to the traditional rule-based control. Three inputs are the battery state-of-charge (SOC), required torque and engine speed. Three outputs are torque commands for the engine, the motor, and the ISG. The system model and the energy management system are integrated for off-line simulation then. The verified models of control strategy and the vehicle dynamics are downloaded to two real-time simulators for the close-loop control with A/D D/A interface. Simulation results show that the vehicle model details the dynamics of key components, while the energy consumptions of these two control modes are nearly 170kJ under ECE40 driving cycle. This HIL platform can be used for rapid prototyping for vehicle control unit (VCU) designs of HES. The general vehicle model can be extended to various power-level hybrid vehicles with three power sources.
基于模糊控制能量管理的三动力混合动力滑板车快速原型设计
本研究主要为混合动力电动踏板车(HES)开发硬件在环(HIL)平台。将模糊控制策略应用于三电源间的能量管理。构建了由火花点火发动机、大功率牵引电机、一体化启动-发电机(ISG)、大功率电池模块、变速器、车辆纵向动力学等子系统组成的低阶滑板车动力学模型。针对三电源的能量管理,设计了73规则模糊控制,并与传统的基于规则的控制进行了比较。三个输入是电池电量状态(SOC)、所需扭矩和发动机转速。三个输出是发动机、电机和ISG的扭矩命令。将系统模型与能源管理系统相结合,进行了离线仿真。将验证过的控制策略模型和车辆动力学模型下载到两个实时仿真器中进行A/D /D /A接口闭环控制。仿真结果表明,整车模型能较好地反映关键部件的动力学特性,在ECE40工况下,两种控制模式的能耗均接近170kJ。该HIL平台可用于HES车辆控制单元(VCU)设计的快速原型设计。一般的车辆模型可以扩展到具有三个电源的各种功率级别的混合动力汽车。
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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