[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-08-11-2022-415

Title : ENERGY SCAVENGING IN PURE ELECTRIC VEHICLES USING BIOINSPIRED MOTH FLAME OPTIMIZATION (MFO) ALGORITHM
Dr. M. Bhuvaneswari

Abstract :

In this paper, we explain how light electric vehicles (LEVs) designed for the next generation of mobility can reap the benefits of a bio-inspired control algorithm. LEVs are expected to play a significant role in the development of the next generation of mobility. The solar parking lot provides residents with an alternative to the practise of relying on fossil fuels as the primary source of electricity. As a result, individuals now have the opportunity to make use of renewable energy. In addition to this, it sets a higher standard for the habitability of urban settings. The energy management system (EMS) of an LEV is responsible for supporting not only the battery charger but also the primary and secondary chargers. This is made feasible by the control techniques that are the fundamental building blocks of the architecture of the vehicle. It is demonstrated by the control algorithm that it is possible to implement and manage many sources of information.