Applications: The energy released during discharging can be used for various applications. In grid systems, it helps to stabilize supply during peak demand. In electric vehicles, it powers the motor, allowing for travel. The efficiency of charging and discharging processes is affected by several factors:
Tang et al. proposed an intelligent charging and discharging strategy based on decision functions. It was applied to EVs in smart grids. The strategy can dynamically adjust the charging and discharging time and power of EVs based on factors such as electricity price, grid load, and the charging demand of EVs.
Wang et al. established an effective and fast EV charging and discharging management model in the day-ahead stage. It optimizes EV charging and discharging in generalized energy storage (GES). Zheng et al. proposed a hybrid energy storage system (ESS) consisting of EVs and supercapacitors.
The energy storage characteristics and energy management of EVs themselves are neglected. Considering the energy storage characteristics of EVs, such as battery capacity, charging rate, and discharging efficiency, it can make more effective use of the energy storage capacity of EVs to achieve more intelligent and efficient charging strategies.
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