Maximizing Electric Power Recovery through Advanced Compensation with MPPT Algorithms

IF 0.8 Q3 ENGINEERING, MULTIDISCIPLINARY

Modelling and Simulation in Engineering Pub Date : 2024-03-07 DOI:10.1155/2024/1769145

S. Touairi, M. Zekraoui, Mustapha Mabrouki

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引用次数: 0

Abstract

The present investigation introduces an advanced methodology for maximum power point tracking (MPPT) applied to a piezo harvester scheme. A comprehensive rectifier circuit, equipped with an embedded MPPT component, is established to optimize energy production by monitoring a DC-DC inverter connected to the rectifier. Furthermore, the system’s sensitivity error has been finely tuned to dynamically adjust its impedance unit in real time, thereby optimizing load acquisition. This innovative approach seamlessly integrates the MPPT algorithm into the piezo harvester circuit. Moreover, the vehicle’s road handling is significantly augmented through the incorporation of a robust steering front and an active differential control system. Leveraging the MPPT module, the rectifier consistently achieves a power recovery efficiency exceeding 85%, independent of varying load conditions. Additionally, a DC-DC converter circuit has been seamlessly integrated to finely adjust the output voltage to meet specified levels. Numerical simulations demonstrate the effectiveness of the harvesting scheme, extracting a substantial output power of 90 W with an overall efficiency of 70%. The improved MPPT approach, employing angles of arrival (AoA) DV-Hop control strategies, minimizes the system’s power consumption based on the Global Positioning System (GPS). The utilization of Harris Hawks optimization (HHO) and the generation of quadrants in the four-quadrant operation mode of DC motors in the wireless sensor network (RCSFs) have been significantly enhanced in this study. Simulations reveal that, at a velocity of 50 km/h, shock absorbers utilizing the received signal strength indication (RSSI) can harvest between 60 and 90 W on a class C road, based on the time of arrival (TOA). Striking a balance in ride comfort using the time difference of arrival (TDOA) as a trade-off constitutes approximately 30% of the piezoelectric harvester (PEH) system’s power consumption when operating in active suspension mode, optimized by particle swarm optimization (PSO).

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通过 MPPT 算法的高级补偿实现电力回收最大化

本研究介绍了一种先进的最大功率点跟踪（MPPT）方法，适用于压电式收割机方案。通过监控与整流器相连的直流-直流逆变器，建立了一个配备嵌入式 MPPT 组件的综合整流器电路，以优化能源生产。此外，还对系统的灵敏度误差进行了微调，以实时动态调整其阻抗单元，从而优化负载采集。这种创新方法将 MPPT 算法无缝集成到压电收割机电路中。此外，由于采用了坚固的转向前端和主动差速控制系统，车辆的路面操控性得到了显著增强。利用 MPPT 模块，整流器的功率恢复效率始终超过 85%，不受不同负载条件的影响。此外，还无缝集成了直流-直流（DC-DC）转换电路，以微调输出电压，使其达到指定水平。数值模拟证明了该收集方案的有效性，可提取 90 W 的可观输出功率，总体效率为 70%。改进的 MPPT 方法采用了到达角 (AoA) DV-Hop 控制策略，在全球定位系统 (GPS) 的基础上最大限度地降低了系统功耗。在无线传感器网络（RCSFs）的直流电机四象限运行模式中，哈里斯-霍克斯优化（HHO）的利用和象限的生成在本研究中得到了显著提高。模拟显示，在时速 50 公里的情况下，根据到达时间（TOA），利用接收信号强度指示（RSSI）的减震器可在 C 级道路上获得 60 至 90 W 的功率。利用到达时间差（TDOA）来权衡行驶舒适性，在主动悬挂模式下，压电收割机（PEH）系统功耗的大约 30%是通过粒子群优化（PSO）来优化的。

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

Modelling and Simulation in Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.70

自引率

3.10%

发文量

审稿时长

18 weeks

期刊介绍： Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.