A Novel Based Wind/Solar Electric Vehicles for Green and Clean Environment

Saleem, Adeel; Liu, Nain; Hu, Junjie; Iqbal, Atif; Hayyat, Muhammad Aftab

doi:10.17706/ijcee.2020.12.2.93-101

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…The Electrochemical Parameters of the Proposed PEH. A lot of methods have been reported to enhance the energy obtained by reverting or inverting the integrated capacitor once the interior current supply passes over zero [2,5].…”

Section: Mppt Controller Applied To Piezoelectricmentioning

confidence: 99%

“…LB and UB indicate the upper and lower bounds of the variables, X rand t signifies a randomly selected device from the current population, and X m t denotes the average position of the current population of devices. The average position of the maximum power is attained using Equation (2).…”

Section: Harris Hawks Optimization Algorithmmentioning

confidence: 99%

“…To accommodate concerns about ride quality, increasing emphasis is being applied to the adoption of electronically controlled suspension (ECS) systems, comprising both semiactive and fully active systems with increasing capabilities, in electric vehicles [1]. Over recent decades, considerable research has been devoted to addressing the problems associated with energy autonomy, in particular, the powering of embedded sensors [2]. Even though integrated sensors have been gaining in accuracy, reliability, and robustness while reducing their size, the limited lifetime of their power supply is a major drawback [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Maximizing Electric Power Recovery through Advanced Compensation with MPPT Algorithms

Touairi,

Zekraoui,

Mabrouki

2024

Modelling and Simulation in Engineering

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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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Section: Mppt Controller Applied To Piezoelectricmentioning

confidence: 99%

Section: Harris Hawks Optimization Algorithmmentioning

confidence: 99%