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Sustainable power management in light electric vehicles with hybrid energy storage and machine learning control.
Punyavathi, R; Pandian, A; Singh, Arvind R; Bajaj, Mohit; Tuka, Milkias Berhanu; Blazek, Vojtech.
Afiliación
  • Punyavathi R; Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522302, India.
  • Pandian A; Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522302, India.
  • Singh AR; Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal University, Hubei Shiyan, 442000, People's Republic of China.
  • Bajaj M; Department of Electrical Engineering, Graphic Era (Deemed to Be University), Dehradun, 248002, India. thebestbajaj@gmail.com.
  • Tuka MB; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan. thebestbajaj@gmail.com.
  • Blazek V; Graphic Era Hill University, Dehradun, 248002, India. thebestbajaj@gmail.com.
Sci Rep ; 14(1): 5661, 2024 Mar 07.
Article en En | MEDLINE | ID: mdl-38454016
ABSTRACT
This paper presents a cutting-edge Sustainable Power Management System for Light Electric Vehicles (LEVs) using a Hybrid Energy Storage Solution (HESS) integrated with Machine Learning (ML)-enhanced control. The system's central feature is its ability to harness renewable energy sources, such as Photovoltaic (PV) panels and supercapacitors, which overcome traditional battery-dependent constraints. The proposed control algorithm orchestrates power sharing among the battery, supercapacitor, and PV sources, optimizing the utilization of available renewable energy and ensuring stringent voltage regulation of the DC bus. Notably, the ML-based control ensures precise torque and speed regulation, resulting in significantly reduced torque ripple and transient response times. In practical terms, the system maintains the DC bus voltage within a mere 2.7% deviation from the nominal value under various operating conditions, a substantial improvement over existing systems. Furthermore, the supercapacitor excels at managing rapid variations in load power, while the battery adjusts smoothly to meet the demands. Simulation results confirm the system's robust performance. The HESS effectively maintains voltage stability, even under the most challenging conditions. Additionally, its torque response is exceptionally robust, with negligible steady-state torque ripple and fast transient response times. The system also handles speed reversal commands efficiently, a vital feature for real-world applications. By showcasing these capabilities, the paper lays the groundwork for a more sustainable and efficient future for LEVs, suggesting pathways for scalable and advanced electric mobility solutions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido