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Development of fast and hybrid charger for lithium ion batteries in light weight electric vehicles
22
Citations
38
References
2021
Year
EngineeringHome Energy StorageHybrid Electric VehiclePower ElectronicsState EstimationElectric VehiclesHybrid ChargerElectrical EngineeringSolar PowerLithium-ion BatteryLithium-ion BatteriesBattery State EstimationEnergy StorageBattery ChargingLithium Ion BatteriesElectric BatteryEnergy ManagementBattery ConfigurationBatteries
This paper introduces a battery charging circuit, which utilizes solar and grid power for charging lightweight electric vehicles. The novelty of the proposed approach is the development of hybrid charger with control algorithm that charges the electric vehicle battery using dual input power. This hybrid charging provides electricity to start the electrically powered vehicle and also powers the additional vehicle. The controller can act as fast charger by closed loop operation with battery parameters as input. The speed of the charge level is varied based on the state of charge (SOC) of battery and parameters detected from battery side. Battery state estimation is defined through adopted battery model and their precision affects the accuracy of state estimation. Micro controller acts as a smart charger that controls the parameter of voltage and current level for battery charging. Battery output performance, voltage, and current variation in battery simulator during stage 1 to 2 charging level, current variation during stage 1 to 2 and stage 2 to 3 charging level by simulation and experimental results are also exhibited in the proposed work. Average power usage for conventional charger with proposed one during day and night time was compared. Time taken to reach 100% SOC for conventional charger with proposed system, probability of battery capacity, energy demand of charging station, effects of charging and discharging of battery, and charging capacity and temperature of battery is also further studied. The result analysis part proves that the proposed strategy shown to be superior to its existing methodologies.
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