Extraction of maximum power from solar with BLDC motor driven electric vehicles based HHO algorithm. (August 2022)

• Record Type: Journal Article
• Authors: Krishna konijeti, Mali Satya Naga; Bharathi, M.L.
• Is Part Of: Advances in engineering software. Volume 170(2022)
• Publication Date: 2022-08
• Subjects: EV -- BLDC -- PV -- HHO -- MPPT -- Steady-state -- PID; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2022.103137
• Languages: English
• ISSNs: 0965-9978

Abstract

Highlight: Harris Hawks Optimization (HHO) is used to offer a Maximum Power Point Tracking Technique (MPPT) for Photovoltaic (PV) Powered e-Vehicles. The proposed design would take fewer iterations to reach prime conditions, enhancing the proposed system's overall efficiency. PID (Proportional Integral Derivative) (e-vehicle) controlled the BLDC engine's speed. This paper also goes into the modelling of a novel MPPT that is utilized for PV-driven BLDC-based e-vehicles. A comparison of MPPT results has been shown to demonstrate the superiority of the suggested method in this system. Abstract: Electric car motors and power electronics have gotten a plenty of concerns recently, because to their rapid growth. DC and 3ϕ induction motors are two of the greatest well-studied electric vehicle (EV) motors. Developing countries, particularly with Brushless DC (BLDC) Motors, have developed their own solutions for EV (BLDC). Controlling the steady-state response and transient, settling time, overshoot, rise time, and other aspects of the 3ϕ BLDC motor is a difficult task. A break in control can make the system unstable and reduce the component's lifespan. Harris Hawks Optimization (HHO) is used to offer a Maximum Power Point Tracking Technique (MPPT) for Photovoltaic (PV) Powered e-Vehicles. By using an HHO technique, the proposed system addresses the issues with traditional MPPT methods. As a result, the design would take fewer iterations to reach prime conditions, enhancing the proposed system's overall efficiency. The BLDC engine's speed is controlled using PID (Proportional Integral Derivative) (e-vehicle). The HHO-based MPPT technique outperformed the others in terms of performance. This paper also goes into the modeling of a novel MPPT that is utilized for PV-driven BLDC-based e-vehicles. Many factors, such as shade, uneven sunshine, and weather conditions, have a role in poor efficiency in real-world situations, demonstrating PV's non-linear features. The MPPT approach mentioned in this article can be utilized to boost overall productivity and lower operating costs for e-vehicles based on the PV framework.