Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control

2017 ◽  
Vol 9 (4) ◽  
pp. 33-77
Author(s):  
Tao Gao
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Practical Significance ◽  
Pollutant Emission ◽  
Series Hybrid Electric Vehicle ◽  
Parameter Matching ◽  
Hybrid Electric ◽  
Future Direction ◽  
Long Endurance ◽  
Simulation Task

Hybrid electric vehicle (HEV) is a kind of new cars with low fuel consumption and low emissions, which combines the advantages of traditional vehicle's long endurance and no-pollution of pure electric vehicles. It represents the future direction of development of vehicle for a period of time. Therefore, the research of HEV technology has important practical significance to the development of China's automobile. This paper takes Shijiazhuang bus as the research object, makes parameter matching according to the parameters of the vehicle, builds the vehicle model using Cruise software, set the simulation task, and studies the control strategy to reduce automobile fuel and pollutant emission targets. The research of this paper has certain directive significance to the modeling and energy optimization of hybrid electric vehicle.

Parameter Matching and Optimization of a Series Hybrid Electric Vehicle Powertrain System

2016 ◽  
Author(s):  
Swagata Borthakur ◽  
Shankar C. Subramanian
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Oil Reserves ◽  
Component Sizing ◽  
Powertrain System ◽  
Series Hybrid Electric Vehicle ◽  
Parameter Matching ◽  
Hybrid Electric ◽  
Increasing Demand ◽  
Hybrid Configuration

The gradual decline of oil reserves and the increasing demand for energy have resulted in automotive manufacturers developing new environmentally friendly vehicles such as electric and hybrid vehicles. Selection of the correct hybrid configuration for a given driving condition is very important since it affects the performance of the vehicle and its fuel economy. This paper focuses on a detailed parametric analysis of a Series Hybrid Electric vehicle (SHEV). The objective of this paper was to develop a SHEV powertrain by initial parameter matching and component sizing, followed by its optimization for given design constraints. This involved study and calculation of components power specifications based on vehicle dynamics. Initial parameterization was followed by optimization to meet the design objective. The simulation of the optimized SHEV was done in the software ADVISOR for an Indian driving cycle (IDC). Based on the simulation results, an optimum range of the powertrain components was established.

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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