Novel control algorithm for dynamic emulation of mechanical loads of the three-motor test bench of the electric vehicle

2019 ◽  
Author(s):  
Ruihai Ma ◽  
Lifang Wang ◽  
Junzhi Zhang
2012 ◽  
Vol 246-247 ◽  
pp. 149-153
Author(s):  
Jing Wen ◽  
Liang Chu ◽  
Jun Nian Wang ◽  
Jian Kun Yin ◽  
Yan Bo Wang

In order to make the motor test and evaluation of hybrid electric vehicle (HEV) can better reflect the requirements of the driving cycle to the motor of the HEV. First, the definition of motor test cycle and its feasibility is discussed. Second, according to traction motor working distribution under the actual driving cycle, motor test cycle is made using the statistical tool and the method for its test and evaluation is proposed. Third, the feasibility of motor test cycle is verified by the test on the test bench.


2012 ◽  
Vol 48 ◽  
pp. 352-357 ◽  
Author(s):  
Karol Kyslan ◽  
František Ďurovský

Author(s):  
J. Jency Joseph ◽  
F.T. Josh ◽  
S. Leander Gilbert
Keyword(s):  

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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