Research on the parameter matching and CVT's target speed ratio optimization of plug in hybrid electric vehicle*

2017 ◽  
Author(s):  
Yuping Zeng
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Speed Ratio ◽  
Target Speed ◽  
Parameter Matching ◽  
Hybrid Electric ◽  
Ratio Optimization

Optimization Study of CVT Speed Ratio to Plug-In Hybrid Electric Vehicle

2014 ◽  
Vol 986-987 ◽  
pp. 1094-1097
Author(s):  
Min Zhou ◽  
Yan Fang Zhang
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Speed Ratio ◽  
Target Speed ◽  
Driving Cycles ◽  
Motor Efficiency ◽  
Optimization Study ◽  
Reverse Optimization ◽  
Energy Economy ◽  
Hybrid Electric

Taking CVT plug-in hybrid electric vehicle as the study subject, the objective function of the energy economy is created. In view of engine, motor efficiency and CVT efficiency coupled relationship; proposed reverse optimization algorithm to solve function. The target speed ratio of optimal energy economy is obtained in different SOC (State Of Charge), velocity, acceleration and slope. On the Matlab/Simulink platform, the system simulation model is built and simulated. The results shows that the target speed ration optimized control law in the case of no additional hardware cost , energy economy save about respectively 3.6% ,4.6%,6.7% in driving cycles of the NEDC,UDDS,HWFET before optimization.

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.

Reverse Optimization Algorithm of CVT‘s Energy Economy

2014 ◽  
Vol 721 ◽  
pp. 3-6
Author(s):  
Min Zhou
Keyword(s):  
Objective Function ◽  
Electric Vehicle ◽  
Optimization Algorithm ◽  
Hybrid Electric Vehicle ◽  
State Of Charge ◽  
Speed Ratio ◽  
Target Speed ◽  
Motor Efficiency ◽  
Reverse Optimization ◽  
Energy Economy

Taking CVT plug-in hybrid electric vehicle as the study subject, the objective function of the energy economy is created. In view of engine, motor efficiency and CVT efficiency coupled relationship; proposed reverse optimization algorithm to solve function. The target speed ratio of optimal energy economy is obtained in different SOC (State Of Charge), velocity, acceleration and slope.

Study on the Traction Motor Characteristic for Hybrid Electric Vehicle

2014 ◽  
Vol 533 ◽  
pp. 321-327
Author(s):  
Wei Wang ◽  
Guang Kui Shi ◽  
Hong Wei Zhang
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Mode ◽  
Theoretical Principle ◽  
Traction Motor ◽  
Parameter Matching ◽  
Overall Performance ◽  
Hybrid Electric ◽  
And Performance ◽  
Reliability Performance

The basic characteristic for traction motor of hybrid electric vehicle affected the dynamics, economy as well as reliability performance for the vehicle directly. The paper derived all kinds of requirements for traction motor according to how improve the overall performance for vehicle. The control mode, static characteristics and dynamic characteristics for the traction motor were separately proposed, and performance index for traction motor were quantitative or quantitative analyzed. As a result, theoretical principle was supplied for parameter matching and evaluation for traction in this paper.

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.

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