IOT Based Optimized Load Scheduling and Automation on Charging EV

To ensure the safety of vehicles and riders, researchers are still working on accurate monitoring, estimation of State of Charge (SOC), State of Health (SOH), and early detection of rechargeable battery failures in electric cars. The locally optimum scheduling strategy is robust against the dynamic arrival of EVs and scalable to a large EV population. In order to successfully flatten the demand profile of the electric system, an intelligent scheduling technique may be used to schedule EV charging patterns. This will reduce operating costs and potential capital expenditures. An increasingly important stage in the adoption of smart grids is intelligent scheduling for EV charging and discharging.