Optimization Control for Orderly Charge and Discharge Control Strategy of Electric Vehicles Based on Reliable Index of Charging

2020 ◽  
Author(s):  
Siming Li ◽  
Tingcheng Huang
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Reliable Index ◽  
Optimization 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.

A Feedback Control Strategy for Torque-Vectoring of IWM Vehicles

2014 ◽  
Author(s):  
Francesco Braghin ◽  
Edoardo Sabbioni ◽  
Gabriele Sironi ◽  
Michele Vignati
Keyword(s):  
Electric Vehicles ◽  
Automotive Industry ◽  
Control Strategy ◽  
Control Logic ◽  
Power Train ◽  
Vehicle Handling ◽  
Torque Vectoring ◽  
Feedback Control Strategy ◽  
Object Of Study ◽  
Yaw Moment

In last decades hybrid and electric vehicles have been one of the main object of study for automotive industry. Among the different layout of the electric power-train, four in-wheel motors appear to be one of the most attractive. This configuration in fact has several advantages in terms of inner room increase and mass distribution. Furthermore the possibility of independently distribute braking and driving torques on the wheels allows to generate a yaw moment able to improve vehicle handling (torque vectoring). In this paper a torque vectoring control strategy for an electric vehicle with four in-wheel motors is presented. The control strategy is constituted of a steady-state contribution to enhance vehicle handling performances and a transient contribution to increase vehicle lateral stability during limit manoeuvres. Performances of the control logic are evaluated by means of numerical simulations of open and closed loop manoeuvres. Robustness to friction coefficient changes is analysed.

The Control Strategy Of V2G Participating in Peak Regulation in Power System

2011 ◽  
Vol 383-390 ◽  
pp. 4151-4157
Author(s):  
Wen Qi Tian ◽  
Jing Han He ◽  
Jiu Chun Jiang ◽  
Cheng Gang Du
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Distributed Energy ◽  
Control Center ◽  
Distributed Energy Storage ◽  
New Energy ◽  
Regulation Function ◽  
Control Layer

With the increase of new energy power generation, the requirement of smart grid and the popularity of electric vehicles, the research focus on V2G. With Electric vehicles being distributed energy storage or distributed generation, peak regulation in power system is involved in important functions of V2G. In order to achieve peak regulation function, the paper has analyzed the control relationship between the electric vehicles, V2G station and electric vehicle charge\ discharge control center, presented charge and discharge control strategy based on the two levels of electric vehicle charge\discharging control center and V2G station control layer and introduced algorithms and examples to achieve these strategies.

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