Numerical Modeling and Simulation of the Vehicle Cooling System for a Heavy Duty Series Hybrid Electric Vehicle

2008 ◽  
Author(s):  
Sungjin Park ◽  
Dohoy Jung
Keyword(s):  
Numerical Modeling ◽  
Modeling And Simulation ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Cooling System ◽  
Heavy Duty ◽  
Series Hybrid Electric Vehicle ◽  
Numerical Modeling And Simulation ◽  
Hybrid Electric

Design of Vehicle Cooling System Architecture for a Heavy Duty Series-Hybrid Electric Vehicle Using Numerical System Simulations

2010 ◽  
Vol 132 (9) ◽  
Author(s):  
Sungjin Park ◽  
Dohoy Jung
Keyword(s):  
Power Consumption ◽  
Electric Vehicle ◽  
System Architecture ◽  
Hybrid Electric Vehicle ◽  
Cooling System ◽  
System Simulation ◽  
Heavy Duty ◽  
Powertrain System ◽  
Series Hybrid Electric Vehicle ◽  
Hybrid Electric

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.

Match and Optimization of Series Hybrid Bus Powertrain Parameters

2011 ◽  
Vol 121-126 ◽  
pp. 2710-2714
Author(s):  
Ling Cai ◽  
Xin Zhang
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Simulation Platform ◽  
Optimal Method ◽  
Orthogonal Method ◽  
Series Hybrid Electric Vehicle ◽  
Hybrid Bus ◽  
Promising Solution ◽  
Hybrid Electric

With the requirements for reducing emissions and improving fuel economy, it has been recognized that the electric, hybrid electric powered drive train technologies are the most promising solution to the problem of land transportation in the future. In this paper, the parameters of series hybrid electric vehicle (SHEV), including engine-motor, battery and transmission, are calculated and matched. Advisor software is chosen as the simulation platform, and the major four parameters are optimized in orthogonal method. The results show that the optimal method and the parameters can improve the fuel economy greatly.

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