The power control and efficiency optimization strategy of dynamic wireless charging system for multiple electric vehicles

IF 0.8 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Ming Zhang, Hantao Zhang, WeiYe Tao, Yan Yang, Yingjun Sang
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引用次数: 0

Abstract

Purpose

This study aims to solve the problem that both the speed and the required driving power of electric vehicles (EVs) will change during the dynamic wireless charging (DWC) process, making it difficult to charge EVs with a constant power considering the overall efficiency of DWC system, the numbers of EVs and the power supply capacity. Therefore, this paper proposes the power control and efficiency optimization strategies for multiple EVs.

Design/methodology/approach

The wireless power charging system for multiple loads with a structure of double-sided LCC compensation topology is established. The expressions of optimal transmission efficiency and optimal equivalent impedance are derived. Taking the Tesla Model 3 as an example, a method to determine the number of EVs allowed by one transmitter coil and the overall charging power is proposed considering EV speed, power supply capacity, safe braking distance and overall efficiency. Then, the power control strategy, which can adapt to the changes of EV speed and the efficiency optimization strategy under different numbers of EVs are proposed.

Findings

In this paper, a method to determine the numbers of EVs allowed by one transmitter coil and the overall charging power is proposed considering EVs speed, power supply capacity, safe braking distance and overall efficiency. The accuracy of the charging power is good enough and the overall efficiency reaches a maximum of 91.79% when the load resistance changes from 5Ω to 20Ω.

Originality/value

In this paper, the power control and efficiency optimization strategy of DWC system for multiple EVs are proposed. Specifically, a method of designing the number of EVs and charging power allowed by one transmitter coil considering the factors of EV speed, power supply capacity, safe braking distance and overall efficiency is designed. The overall efficiency of the experiment reaches a maximum of 91.79% after adopting the optimization strategy.

多电动汽车动态无线充电系统的功率控制和效率优化策略
目的本研究旨在解决在动态无线充电(DWC)过程中,电动汽车(EV)的速度和所需驱动功率都会发生变化,从而导致在考虑 DWC 系统整体效率、电动汽车数量和电源容量的情况下,难以以恒定功率为电动汽车充电的问题。因此,本文提出了针对多辆电动汽车的功率控制和效率优化策略。设计/方法/途径建立了双面 LCC 补偿拓扑结构的多负载无线充电系统。推导出最佳传输效率和最佳等效阻抗的表达式。以特斯拉 Model 3 为例,在考虑电动汽车速度、电源容量、安全制动距离和整体效率的基础上,提出了确定一个发射线圈允许的电动汽车数量和整体充电功率的方法。本文提出了一种确定一个发射线圈允许的电动汽车数量和总充电功率的方法,考虑了电动汽车速度、电源容量、安全制动距离和总效率。当负载电阻从 5Ω 变化到 20Ω 时,充电功率的精确度足够高,整体效率最高达到 91.79%。具体而言,设计了一种综合考虑电动汽车速度、电源容量、安全制动距离和整体效率等因素的电动汽车数量和单个发射线圈允许充电功率的设计方法。采用优化策略后,实验的整体效率最高达到 91.79%。
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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来源期刊
Circuit World
Circuit World 工程技术-材料科学:综合
CiteScore
2.60
自引率
0.00%
发文量
33
审稿时长
>12 weeks
期刊介绍: Circuit World is a platform for state of the art, technical papers and editorials in the areas of electronics circuit, component, assembly, and product design, manufacture, test, and use, including quality, reliability and safety. The journal comprises the multidisciplinary study of the various theories, methodologies, technologies, processes and applications relating to todays and future electronics. Circuit World provides a comprehensive and authoritative information source for research, application and current awareness purposes. Circuit World covers a broad range of topics, including: • Circuit theory, design methodology, analysis and simulation • Digital, analog, microwave and optoelectronic integrated circuits • Semiconductors, passives, connectors and sensors • Electronic packaging of components, assemblies and products • PCB design technologies and processes (controlled impedance, high-speed PCBs, laminates and lamination, laser processes and drilling, moulded interconnect devices, multilayer boards, optical PCBs, single- and double-sided boards, soldering and solderable finishes) • Design for X (including manufacturability, quality, reliability, maintainability, sustainment, safety, reuse, disposal) • Internet of Things (IoT).
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