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Intelligent Hybrid Power Management for Solar Light Electric Vehicles in Extreme Hot Environments

  • Abdesselam Abderrahmani,
  • Mohammed A. Soumeur,
  • Brahim Gasbaoui

摘要

In regions with scorching temperatures like southwest Algeria's BECHAR, where mercury can rise above 50 ℃, maintaining peak performance under harsh environmental conditions is of paramount importance. To tackle this challenge head-on, this research presents an innovative approach: an intelligent hybrid power system that synergizes SUN Power solar PV with lithium-ion battery super-capacitors. A feed-forward neural network (FF-NN) takes the driver's seat in optimizing vehicle performance by regulating power distribution between these hybrid sources. Rigorous simulations underscore the system's prowess, demonstrating its resilience in navigating tough environmental conditions while upholding high-performance benchmarks. The findings underscore the substantial promise of the proposed system in ushering sustainable and effective transportation in hot zones, with wide-ranging applicability across industries. Prospective designs of industrial vehicles must proactively integrate hybrid power management into their blueprints, guaranteeing energy efficiency and peak vehicle operation.