基于熵的WPT -太阳能双输入电动汽车充电器控制器参数Whale优化算法

IF 4.6 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-06-17 DOI:10.1016/j.conengprac.2025.106432

M. Ganesh Babu , P. Srinivasa Rao Nayak

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引用次数: 0

摘要

对电动汽车电池进行恒压充电是延长电池寿命和提高能量传递效率的关键。然而，传统的PI控制器面临着在不同输入条件下保持电压调节的挑战，例如无线电力传输（WPT）失调和光伏（PV）辐照度波动，导致瞬态性能不佳。本文提出了一种先进的控制策略，通过双输入DC-DC转换器（DIC）在闭环降压模式下工作，将WPT和屋顶太阳能输入集成在一起。PI控制器调节输出电压，其增益使用Whale优化算法（WOA）进行优化。该控制器旨在最小化时间加权绝对误差（ITAE）、稳定时间和瞬态超调的积分，形成一个多目标优化问题。采用熵值法对目标赋权，构造统一的代价函数。本文提出的基于woa的控制器与JAYA算法进行了基准测试，在减少暂态误差和提高系统稳定性方面表现出优异的性能。通过MATLAB/Simulink仿真和fpga平台上的实验实现，验证了该方法的有效性。在动态WPT和PV条件下对控制器性能进行了评估，展示了跨多种操作模式的鲁棒性和效率。此外，还分析了瞬态行为对电池健康状态（SOH）的影响，表明充电过程中的退化减少。结果表明，该控制策略可确保下一代集成可再生能源的电动汽车系统实现可靠、高效的充电。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Entropy-based controller parameter optimization for a dual-input EV charger integrated with WPT and solar energy using the Whale Optimization Algorithm

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Entropy-based controller parameter optimization for a dual-input EV charger integrated with WPT and solar energy using the Whale Optimization Algorithm

Charging electric vehicle (EV) batteries at constant voltage (CV) is essential for extending battery life and improving energy transfer efficiency. However, conventional PI controllers face challenges in maintaining voltage regulation under varying input conditions, such as wireless power transfer (WPT) misalignments and photovoltaic (PV) irradiance fluctuations, leading to poor transient performance. This paper presents an advanced control strategy that integrates WPT and rooftop solar input through a dual-input DC-DC converter (DIC) operating in closed-loop buck-boost mode. A PI controller regulates the output voltage, with its gains optimized using the Whale Optimization Algorithm (WOA). The controller is designed to minimize the Integral of Time-weighted Absolute Error (ITAE), settling time, and transient overshoot, forming a multi-objective optimization problem. The Entropy method is employed to assign weights to the objectives and construct a unified cost function. The proposed WOA-based controller is benchmarked against the JAYA algorithm, showing superior performance in reducing transient errors and improving system stability. The methodology is validated through MATLAB/Simulink simulations and experimental implementation on an FPGA-based platform. Controller performance is evaluated under dynamic WPT and PV conditions, demonstrating robustness and efficiency across multiple operating modes. Additionally, the impact of transient behavior on the battery’s state of health (SOH) is analyzed, indicating reduced degradation during charging. The results confirm that the proposed control strategy ensures reliable, efficient charging for next-generation EV systems integrating renewable energy sources.

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.