System-level charging control strategy for plug-in electric vehicles

2015 ◽  
Author(s):  
Yuchen Tang ◽  
Jin Zhong
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
System Level ◽  
Charging Control

scholarly journals A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

2019 ◽  
Vol 11 (16) ◽  
pp. 4317 ◽  
Author(s):  
Fazel Mohammadi ◽  
Gholam-Abbas Nazri ◽  
Mehrdad Saif
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Wind Farm ◽  
Hybrid Electric Vehicles ◽  
Test System ◽  
Frequency Regulation ◽  
Diesel Generator ◽  
Peak Reduction ◽  
Charging Control ◽  
Hybrid Electric

Plug-in Hybrid Electric Vehicles (PHEVs) have the potential of providing frequency regulation due to the adjustment of power charging. Based on the stochastic nature of the daily mileage and the arrival and departure time of Electric Vehicles (EVs), a precise bidirectional charging control strategy of plug-in hybrid electric vehicles by considering the State of Charge (SoC) of the batteries and simultaneous voltage and frequency regulation is presented in this paper. The proposed strategy can control the batteries charge which are connected to the grid, and simultaneously regulate the voltage and frequency of the power grid during the charging time based on the available power when different events occur over a 24-h period. The simulation results prove the validity of the proposed control strategy in coordinating plug-in hybrid electric vehicles aggregations and its significant contribution to the peak reduction, as well as power quality improvement. The case study in this paper consists of detailed models of Distributed Energy Resources (DERs), diesel generator and wind farm, a generic aggregation of EVs with various charging profiles, and different loads. The test system is simulated and analyzed in MATLAB/SIMULINK software.

An Adaptive Charging Control Strategy for Electric Vehicles Based on Wi-Fi Technology

2013 ◽  
Vol 860-863 ◽  
pp. 1153-1158
Author(s):  
Shi Ming Xu ◽  
Wan Xi ◽  
Liu Shuo ◽  
Wu Feng
Keyword(s):  
Adaptive Control ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Load Control ◽  
Electric Vehicle Charging ◽  
Power Load ◽  
Charging Control ◽  
Vehicle Charging ◽  
Exchange Parameters

The uncertainty of driving area, the power load control of charging facility and charging rates make electric vehicles(EVs) facing different charging facilities, so it is necessary to control charging in the charging process. An adaptive electric vehicle charging control strategy was proposed in this paper. The strategy uses wifi for communication, communicating with charging pile through wifi, charging facilities and electric vehicles can exchange parameters to achieve adaptive control of the charging process. And experiment was conducted for verification.

Decentralized Charging of Plug-In Electric Vehicles

2011 ◽  
Author(s):  
Chiao-Ting Li ◽  
Changsun Ahn ◽  
Huei Peng ◽  
Jing Sun
Keyword(s):  
Electric Vehicles ◽  
Control Algorithm ◽  
Fossil Fuel ◽  
Electric Energy ◽  
System Level ◽  
Frequency Regulation ◽  
Level Control ◽  
Battery Charging ◽  
Individual Level ◽  
Charging Control

Plug-in electric vehicles (PEVs) are equipped with sizable batteries to replace fossil fuel with electric energy. The electric grid may be stressed when a large number of PEVs charge their batteries, especially during peak hours. This paper presents a PEV charging control algorithm, which achieves balance between the system-level objective (valley filling) and individual-level objective (full battery charging). In addition, grid frequency regulation is achieved through a two-level control algorithm, which ensures robustness and reduces reliance on conventional ancillary services. This two-level control algorithm is scalable because it is designed for decentralized implementation. In other words, the algorithm works with indefinite numbers of PEVs as long as the load is within the grid capacity.

Sign in / Sign up

Export Citation Format

Share Document