模块化设计
电动汽车
控制理论(社会学)
模糊逻辑
汽车工业
控制工程
汽车工程
工程类
计算机科学
模糊控制系统
扭矩
控制(管理)
功率(物理)
操作系统
物理
热力学
航空航天工程
人工智能
量子力学
作者
Fabrício Leonardo Silva,Ludmila C. A. Silva,Jony Javorski Eckert,Maria Augusta de Menezes Lourenço
标识
DOI:10.1016/j.mechmachtheory.2021.104554
摘要
Modular design becomes a trend in the automotive industry to increase competitiveness with vehicle platforms that combine multiple modules to provide different applications. This paper presents an optimized Fuzzy Logic Control (FLC) applied to modular all-wheel-drive vehicles, focusing on Electric Vehicles (EVs) and Hybrid Electric Vehicles (HEV) powered configurations. The vehicle behavior is determined by dynamic model simulation, in which the Magic Formula is applied to define the tire slip, associated with the load transfer during curves or drive/break situations. The controller acts as an electronic differential and changes the in-wheel motor torques to correct the vehicle trajectory during a standard maneuver. A multi-objective optimization based on the genetic algorithm determines the FLC configuration. The vehicle parameters (EV and HEV) have been modified to analyze the optimized FLC and, in all cases, the control showed an improvement in behavior to the vehicle without control. Finally, the FLC was implemented in a simple microcontroller and a hardware-in-the-loop simulation was developed to simulate a real vehicle operating condition and analyze this performance.
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