Study on coordinated charging control algorithm for plug-in electric vehicle based on energy internet

2017 ◽  
Author(s):  
Ma Hongwei ◽  
Zhang Meng ◽  
Feng Xu ◽  
Wang Xia
Keyword(s):  
Electric Vehicle ◽  
Control Algorithm ◽  
Energy Internet ◽  
Charging Control ◽  
Coordinated Charging

scholarly journals Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates

2021 ◽  
Vol 11 (22) ◽  
pp. 10962
Author(s):  
Theron Smith ◽  
Joseph Garcia ◽  
Gregory Washington
Keyword(s):  
Fuzzy Logic ◽  
Adverse Effects ◽  
Real Time ◽  
Electric Vehicle ◽  
Control Algorithm ◽  
Optimization Techniques ◽  
Electric Vehicle Charging ◽  
Real Time Scale ◽  
Charging Control ◽  
Real World Applications

This paper presents a plug-in electric vehicle (PEV) charging control algorithm, Adjustable Real-Time Valley Filling (ARVF), to improve PEV charging and minimize adverse effects from uncontrolled PEV charging on the grid. ARVF operates in real time, adjusts to sudden deviations between forecasted and actual baseloads, and uses fuzzy logic to deliver variable charging rates between 1.9 and 7.2 kW. Fuzzy logic is selected for this application because it can optimize nonlinear systems, operate in real time, scale efficiently, and be computationally fast, making ARVF a robust algorithm for real-world applications. In addition, this study proves that when the forecasted and actual baseload vary by more than 20%, its real-time capability is more advantageous than algorithms that use optimization techniques on predicted baseload data.

scholarly journals Optimization and Enhancement of Charging Control System of Electric Vehicle Using MATLAB SIMULINK

2021 ◽  
Vol 1105 (1) ◽  
pp. 012004
Author(s):  
R H Ali Faris ◽  
A A Ibrahim ◽  
N B Mohamad wasel ◽  
M M Abdulwahid ◽  
M F Mosleh
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Matlab Simulink ◽  
Charging Control

scholarly journals An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

2021 ◽  
Vol 12 (3) ◽  
pp. 107
Author(s):  
Tao Chen ◽  
Peng Fu ◽  
Xiaojiao Chen ◽  
Sheng Dou ◽  
Liansheng Huang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Algorithm ◽  
Current Fluctuation ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Three Phase ◽  
Optimization Control ◽  
Dc Bus ◽  
Vehicle Charging

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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