Numerical Analysis of the Mixture Formation in a Two-Stroke Wall-Guided LPG DI Engine for Extended-Range Electric Vehicle

2018 ◽  
Vol 19 (2) ◽  
pp. 313-321
Author(s):  
Xu Boyan ◽  
Jiang Longlong ◽  
Sun Chaodong ◽  
Liu Yingchun
Keyword(s):  
Numerical Analysis ◽  
Electric Vehicle ◽  
Mixture Formation ◽  
Extended Range

Control variable optimisation for an extended range electric vehicle

2016 ◽  
Vol 5 (1) ◽  
pp. 30 ◽  
Author(s):  
Mihael Cipek ◽  
Branimir Škugor ◽  
Mirko Čorić ◽  
Josip Kasać ◽  
Joško Deur
Keyword(s):  
Electric Vehicle ◽  
Control Variable ◽  
Extended Range

scholarly journals Control Strategy and Performance Simulation Study on Extended Range Electric Vehicle

2019 ◽  
Vol 79 ◽  
pp. 03006
Author(s):  
Limian Wang ◽  
Shumao Wang ◽  
Zhenghe Song
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Structure Design ◽  
System Structure ◽  
Simulation Research ◽  
Range Extender ◽  
Strategy Model ◽  
Extended Range ◽  
And Performance

Electric vehicles are recognized as an effective way to alleviate the energy crisis and environmental degradation, and extended range electric vehicles which have both the technical advantages of hybrid electric vehicles and pure electric vehicles, have gradually become a research hotspot in the automotive industry. In this paper, the system structure design of the extended range electric vehicle is carried out. On the basis of the pure electric vehicle, the engine and generator set are added. The control strategy model is established and the simulation research is carried out. The results show that the proposed control strategy model optimizes the working range of the range extender, takes into account the performance of the battery and the drive motor, and shows good tracking characteristics.

Fuzzy Logic Control Strategy for an Extended-Range Electric Vehicle

2012 ◽  
Vol 220-223 ◽  
pp. 968-972 ◽  
Author(s):  
Ji Gao Niu ◽  
Su Zhou
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
High Efficiency ◽  
Control Strategies ◽  
Vehicle Performance ◽  
Logic Control ◽  
Extended Range ◽  
Avl Cruise

This paper presents a Fuzzy Logic Control Strategy (FLCS) for an Extended-range Electric Vehicle (E-REV) with series structure. The control strategy design objective of the E-REV is fuel economy. Based on the State of Charge (SOC) of the battery and the desired power for driving, the power required by the vehicle is split between the engine/generator set and the battery by the FLCS. The engine can be operated consistently in a very high efficiency area and the SOC of the battery can be maintained at a reasonable level. Some standard driving cycles and two control strategies of Power Follower Control Strategy (PFCS) and FLCS were simulated with AVL-Cruise and Matlab/Simulink to analyze the vehicle performance. Some simulation results are compared and discussed: the FLCS indicates better performance in terms of fuel consumption.

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