TY - JOUR
T1 - 带有V2G并网的电动汽车用增程器控制策略
AU - Wei, Hongqian
AU - Zhang, Youtong
AU - Jiang, Xinzhu
AU - Ai, Qiang
AU - Zhao, Wenqiang
N1 - Publisher Copyright:
Copyright ©2022 Transaction of Beijing Institute of Technology. All rights reserved.
PY - 2022/2
Y1 - 2022/2
N2 - Range-extender (RE) benefits to enlarge the driving mileage of electric vehicles; however, knowledge gap lies in the research of the V2G function of RE. To this end, this paper investigates the grid-connected generation and control strategies of RE. Firstly, a novel electrical position estimation algorithm was proposed based on the decoupling double synchronous reference frame phase-locked loop approach, and the Hall feedforward signal was incorporated to improve its response speed and estimation accuracy. On this basis, the grid phase-locked loop and voltage control were coordinated. Then, the multi-objective optimization was executed to optimize control variables to reduce the fuel consumption and unnecessary mechanical start-off. Besides, the start-off scheme and condition switch strategy were investigated in depth. Finally, a RE experimental platform with the engine, motor and generation devices was established to validate the electrical angle estimation algorithm, grid-connected generation strategy and condition regulation scheme. Results validate the executability and effectiveness of the proposed RE control strategy with V2G function.
AB - Range-extender (RE) benefits to enlarge the driving mileage of electric vehicles; however, knowledge gap lies in the research of the V2G function of RE. To this end, this paper investigates the grid-connected generation and control strategies of RE. Firstly, a novel electrical position estimation algorithm was proposed based on the decoupling double synchronous reference frame phase-locked loop approach, and the Hall feedforward signal was incorporated to improve its response speed and estimation accuracy. On this basis, the grid phase-locked loop and voltage control were coordinated. Then, the multi-objective optimization was executed to optimize control variables to reduce the fuel consumption and unnecessary mechanical start-off. Besides, the start-off scheme and condition switch strategy were investigated in depth. Finally, a RE experimental platform with the engine, motor and generation devices was established to validate the electrical angle estimation algorithm, grid-connected generation strategy and condition regulation scheme. Results validate the executability and effectiveness of the proposed RE control strategy with V2G function.
KW - Coordinated control
KW - Electric vehicles
KW - Range extender(RE)
KW - Vehicle to grid(V2G)
UR - http://www.scopus.com/inward/record.url?scp=85122665372&partnerID=8YFLogxK
U2 - 10.15918/j.tbit1001-0645.2021.239
DO - 10.15918/j.tbit1001-0645.2021.239
M3 - 文章
AN - SCOPUS:85122665372
SN - 1001-0645
VL - 42
SP - 135
EP - 144
JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
IS - 2
ER -