太阳能电动汽车智能控制器的最优性能评估

R. S. Kumar, C. S. Reddy, B. M. Chandra
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摘要

介绍。汽车数量的增加,加上化石燃料的消耗增加,已经引起了人们对其有害环境影响的极大关注。替代能源一直是广泛研究和开发的主题。由于其高能量密度、零排放和可持续燃料的使用,电池被广泛认为是汽车应用中最有前途的解决方案之一。其商业化的主要障碍是电池的高成本和低功率密度。目的。实现控制系统是本研究的主要目标,该控制系统用于改变混合储能系统中驱动负载的能量来源。新鲜事物。为满足控制目标,设计了一种基于速度条件的控制器,考虑了四个独立的数学函数,并根据不同的速度范围进行了编程。另一方面,常规/智能控制器也考虑开发与DC-DC变换器输出相关的开关信号并应用于实际值。方法。根据所提出的控制策略,所采用的基于速度条件的控制器是满足控制目标的常规/智能相结合的控制器。实用价值。本文在MATLAB/Simulink环境中分别设计并应用了基于速度条件的控制器与人工神经网络控制器、基于速度条件的控制器与模糊逻辑控制器、基于速度条件的控制器与比例积分导数控制器三种不同的混合控制器,并在不同的负载条件下得到了结果。基于时域规范对三种混合控制器的执行性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal performance assessment of intelligent controllers used in solar-powered electric vehicle
Introduction. Increasing vehicle numbers, coupled with their increased consumption of fossil fuels, have drawn great concern about their detrimental environmental impacts. Alternative energy sources have been the subject of extensive research and development. Due to its high energy density, zero emissions, and use of sustainable fuels, the battery is widely considered one of the most promising solutions for automobile applications. A major obstacle to its commercialization is the battery's high cost and low power density. Purpose. Implementing a control system is the primary objective of this work, which is employed to change the energy sources in hybrid energy storage system about the load applied to the drive. Novelty. To meet the control objective, a speed condition-based controller is designed by considering four separate math functions and is programmed based on different speed ranges. On the other hand, the conventional/intelligent controller is also considered to develop the switching signals related to the DC-DC converter’s output and applied the actual value. Methods. According to the proposed control strategy, the adopted speed condition based controller is a combined conventional/intelligent controller to meet the control object. Practical value. In this work, three different hybrid controllers adopted speed condition based controller with artificial neural network controller, adopted speed condition based controller with fuzzy logic controller, and adopted speed condition based controller with proportional-integral derivative controller are designed and applied separately and obtain the results at different load conditions in MATLAB/Simulink environment. Three hybrid controller’s execution is assessed based on time-domain specifications.
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