DESIGH & SIMULATION OF A HYBRID ELECTRIC VEHICAL POWER TRAIN

B.ANUSHA BAI; M.PALLAVI; D.MABU; P.HUSSAIN BASHA; K.ANITHA

DESIGH & SIMULATION OF A HYBRID ELECTRIC VEHICAL POWER TRAIN

Author(s)	B.ANUSHA BAI, M.PALLAVI, D.MABU, P.HUSSAIN BASHA, K.ANITHA
Country	India
Abstract	This project introduces a novel method for improving energy harvest from photovoltaic (PV) systems through the creation of an Enhanced Maximum Power Point Tracking (MPPT) control strategy that utilizes Artificial Neural Networks (ANN). With the rising demand for renewable energy and electric vehicles (EVs), the integration of PV systems with grid-connected EV charging stations is becoming increasingly essential for sustainable energy solutions. Conventional MPPT methods, such as Perturb and Observe and Incremental Conductance, frequently fail to sustain optimal energy extraction under changing environmental conditions, which results in suboptimal performance. This research tackles these drawbacks by utilizing the adaptive learning abilities of ANN to forecast the ideal operating points of the PV system, considering fluctuating parameters such as solar irradiance, temperature, and load conditions. The suggested system design consists of a complete PV configuration, a grid interface, and an effective EV charging station. The ANN-based MPPT controller is crafted to boost the energy output from the PV array, guaranteeing that the EVs' charging process is efficient and dependable. Experimental findings illustrate that the ANN-based MPPT markedly surpasses traditional approaches regarding energy harvesting efficiency, especially under variable solar conditions. The results of this study highlight the potential of ANN-driven MPPT control strategies to transform the integration of solar energy with electric vehicle infrastructure. Additionally, this project aids in enhancing grid stability while encouraging the broader adoption of renewable energy technologies. Future efforts will investigate the incorporation of additional renewable resources and hybrid MPPT strategies to further enhance system efficiency and scalability, promoting a more sustainable energy ecosystem.
Keywords	electric vehicles, automobile energy consumption, fast degradation, inner combustion engine, greenhouse gasoline emissions, worldwide sustainability, new requirements.
Field	Engineering
Published In	Volume 16, Issue 1, January-June 2025
Published On	2025-04-10
Cite This	DESIGH & SIMULATION OF A HYBRID ELECTRIC VEHICAL POWER TRAIN - B.ANUSHA BAI, M.PALLAVI, D.MABU, P.HUSSAIN BASHA, K.ANITHA - IJAIDR Volume 16, Issue 1, January-June 2025.

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DESIGH & SIMULATION OF A HYBRID ELECTRIC VEHICAL POWER TRAIN

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