Research on Intelligent Control System of Active Equalization for Charging Station of Electric Vehicle

2013 ◽  
Vol 341-342 ◽  
pp. 805-808
Author(s):  
Zhi Yuan Zhang

In order to improve the quality of electric vehicle battery,this paper presented an intelligent active equalization system for electric vehicle charging station. It applied equalization mode of release and supplementary to balance battery energy,and applied centralize - decentralize structure to build the system. Inductance and capacitor is applied to store up energy and transfer energy for feedback of energy. Fuzzy control technique is applied to control process in system . Simulation results show that the system can realize to balance voltage of batteres when charging or no-charging, and meet the requirement of electric vehicle charging station.

Author(s):  
Jidigam Sumanth

This paper represents as Global warming has led to the massive adoption of electrical Vehicles(EVs) which appear to be the simplest replacement to IC engines. Due to increased number of EVs within the road, charging of the vehicles with conventional fuel based grid isn't economical and efficient. Thus, a renewable energy based charging station finds immense potential and control for electric vehicle charging. An electric vehicle charging station integrating solar power and a Battery Energy Storage System (BESS) is designed for the current scenario. For uninterrupted power within the charging station a further grid support is additionally considered without becoming an additional burden to the grid. An efficient design of charging station with MPPT, PID and current control strategy is developed for the optimal power management between solar, BESS, grid with the EVs within the charging station. By taking dynamic charging needs of EVs, the planning of charging station is formulated and validated in MATLAB/Simulink.


2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.


2021 ◽  
Vol 12 (3) ◽  
pp. 107
Author(s):  
Tao Chen ◽  
Peng Fu ◽  
Xiaojiao Chen ◽  
Sheng Dou ◽  
Liansheng Huang ◽  
...  

This paper presents a systematic structure and a control strategy for the electric vehicle charging station. The system uses a three-phase three-level neutral point clamped (NPC) rectifier to drive multiple three-phase three-level NPC converters to provide electric energy for electric vehicles. This topology can realize the single-phase AC mode, three-phase AC mode, and DC mode by adding some switches to meet different charging requirements. In the case of multiple electric vehicles charging simultaneously, a system optimization control algorithm is adopted to minimize DC-bus current fluctuation by analyzing and reconstructing the DC-bus current in various charging modes. This algorithm uses the genetic algorithm (ga) as the core of computing and reduces the number of change parameter variables within a limited range. The DC-bus current fluctuation is still minimal. The charging station system structure and the proposed system-level optimization control algorithm can improve the DC-side current stability through model calculation and simulation verification.


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