Electric vehicles (EVs) are leading the way in environmentally friendly transportation options, with a growing focus on improving their efficiency and lowering their carbon footprint. This research presents a novel method of optimising motor function for increased efficiency and integrating photovoltaic (PV) systems with enhanced Maximum Power Point Tracking (MPPT). For enhancing the overall EV performance, the suggested system applies advanced motor control techniques and uses Salp swarm optimisation (SSO) for MPPT. The suggested strategy is effective in raising the overall efficiency of PV-integrated EVs, as shown by simulation studies. The integrated system outperforms conventional techniques in terms of efficiency and performance by improving motor control algorithms and dynamically optimising energy capture from PV panels. The Improved Z-Source Converter (IZSC) enhances system efficiency and performance by adjusting output voltage to match motor requirements. The developed converter has a greater efficacy of 96.3%, while the algorithm has an efficiency of 98%, which improves the total performance of the system. The results underscore the feasibility of the suggested methodology for practical application, providing a sustainable resolution to augment the effectiveness of electric automobiles and promote the assimilation of renewable energy sources into transportation networks.

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Improved Motor Control of Electric Vehicle with Salp Swarm Optimised MPPT

  • A. A. Mohamed Faizal,
  • P. Nammalvar,
  • P. Malathi,
  • A. Yazhini,
  • P. Jose,
  • S. Nagakumararaj

摘要

Electric vehicles (EVs) are leading the way in environmentally friendly transportation options, with a growing focus on improving their efficiency and lowering their carbon footprint. This research presents a novel method of optimising motor function for increased efficiency and integrating photovoltaic (PV) systems with enhanced Maximum Power Point Tracking (MPPT). For enhancing the overall EV performance, the suggested system applies advanced motor control techniques and uses Salp swarm optimisation (SSO) for MPPT. The suggested strategy is effective in raising the overall efficiency of PV-integrated EVs, as shown by simulation studies. The integrated system outperforms conventional techniques in terms of efficiency and performance by improving motor control algorithms and dynamically optimising energy capture from PV panels. The Improved Z-Source Converter (IZSC) enhances system efficiency and performance by adjusting output voltage to match motor requirements. The developed converter has a greater efficacy of 96.3%, while the algorithm has an efficiency of 98%, which improves the total performance of the system. The results underscore the feasibility of the suggested methodology for practical application, providing a sustainable resolution to augment the effectiveness of electric automobiles and promote the assimilation of renewable energy sources into transportation networks.