SMART LOCAL GOVERNANCE FRAMEWORK FOR ELECTRIC VEHICLE ECOSYSTEMS INTEGRATING IOT BATTERY SAFETY AI FLEET OPTIMIZATION AND BLOCKCHAIN ENERGY MANAGEMENT

Abstract

This study presents the Smart Local Governance Framework for Electric Vehicle Ecosystems (SLGF-EV), an integrated, battery-centric architecture designed to support urban authorities in managing EV safety, energy demand, and fleet operations. The framework combines IoT-enabled multi-point battery monitoring, AI-based SoC/SoH/RUL forecasting, hybrid Coati–NGO route optimization, and blockchain-secured lifecycle governance to deliver a unified digital infrastructure for municipal decision-making. Evaluations conducted using a 55-vehicle fleet, 58 charging stations, and 10,000 battery-sensor records demonstrate notable improvements: charging-load forecasting error reduced to MAE = 1.12 kW, route energy consumption decreased by 24.3%, and thermal anomaly detection achieved 98.4% accuracy. The blockchain layer maintained 248 tx/s throughput with 99.2% attack prevention, enabling tamper-proof documentation of battery aging, thermal peaks, and warranty compliance. Overall, SLGF-EV enhances grid stability, improves operational efficiency, and strengthens public trust through transparent governance mechanisms. The framework offers a scalable, modular pathway for cities aiming to integrate EV infrastructure within broader smart-city ecosystems while ensuring long-term safety and sustainability.