scholarly journals A Novel Electric Vehicle Powertrain System Supporting Multi-Path Power Flows: Its Architecture, Parameter Determination and System Simulation

Energies ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 216 ◽  
Author(s):  
Yujun Shi ◽  
Jin Wei ◽  
Zhengxing Deng ◽  
Linni Jian
Author(s):  
Sungjin Park ◽  
Dohoy Jung

In this study, numerical simulations of the vehicle cooling system and the vehicle powertrain system of a virtual heavy duty tracked series hybrid electric vehicle (SHEV) is developed to investigate the thermal responses and power consumptions of the cooling system. The output data from the powertrain system simulation are fed into the cooling system simulation to provide the operating conditions of powertrain components. Three different cooling system architectures constructed with different concepts are modeled and the factors that affect the performance and power consumption of each cooling system are identified and compared with each other. The results show that the cooling system architecture of the SHEV should be developed considering various cooling requirements of powertrain components, power management strategy, performance, parasitic power consumption, and the effect of driving conditions. It is also demonstrated that a numerical model of the SHEV cooling system is an efficient tool to assess design concepts and architectures of the system during the early stage of system development.


2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668314 ◽  
Author(s):  
Yu Wang ◽  
Enli Lü ◽  
Huazhong Lu ◽  
Nong Zhang ◽  
Xingxing Zhou

This article develops a systematic model to study electric vehicle powertrain system efficiency by combining a detailed model of two-speed dual-clutch transmission system efficiency losses with an electric vehicle powertrain system model. In this model, the design factors including selection of the electric machine, gear ratios’ change, multi-plate wet clutch design, and gear shift schedule design are considered. Meanwhile, the application of detailed model for drag torque losses in the gearbox is discussed. Furthermore, the proposed model, developed with the MATLAB/Simulink platform, is applied to optimize/maximize the efficiency of the electric vehicle powertrain system using genetic algorithms. The optimization results demonstrate that the optimal results are different between simulations via New Europe Drive Cycle and Urban Dynamometer Driving Schedule, and comprehensive design and optimization of the powertrain system are necessary.


2018 ◽  
Vol 41 (7) ◽  
pp. 539-546 ◽  
Author(s):  
Qichao Dong ◽  
Hongzhong Qi ◽  
Xintian Liu ◽  
Yansong Wang

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