Simulation of Average Model Switch Network of Power Converter

2010 ◽  
Vol 145 ◽  
pp. 537-540
Author(s):  
Yan Dong Song
Keyword(s):  
Energy Source ◽  
Control System ◽  
Modeling And Simulation ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Power Converter ◽  
Average Model ◽  
State Equations ◽  
Electric Generator ◽  
Simulation Results

The power converter connected to energy source and linear electric generator is crucial powertrain and converting component, and it is mainly used in hybrid electric vehicle. For switching the states of release energy and absorb energy quickly and smoothly, the accuracy of converter model is very important for designing of control system. The performances of converter can be evaluated by modeling and simulation before produce actual circuitry, so the converter model is created in average model switch network. Simulation results have a distinction between the two models with average model switch network and state equations separately. In comparison the average model switch network is more identical to practical system, so it is more valid for guiding design of control system of converter.

Modeling and Simulation of a Multiple-Regime Plug-In Hybrid Electric Vehicle

2013 ◽  
Author(s):  
Rui Cheng ◽  
Jian Dong ◽  
Zuomin Dong
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Hybrid Vehicles ◽  
Rule Based ◽  
Hybrid Electric ◽  
Load Leveling ◽  
And Control

In recent years, the automotive industry has devoted considerable resources to the research and development of hybrid vehicles. Plug-in hybrid electric vehicles (PHEV) present to be the next generation hybrid vehicles that offer the advantages in reducing fossil fuel consumption and lowering emissions without sacrifice vehicle performance, and the ability to utilize renewable energy through charge from the electric grid. In this work, the powertrain model of a series-parallel, multiple-regime plug-in hybrid electric vehicle (SPMR-PHEV) was introduced. As one of the several parallel powertrain modeling, simulation and control system design approaches at University of Victoria, the presented SPMR-PHEV model was developed using rule-based load-leveling energy management strategy (EMS) under the MATLAB/Simulink and SimDriveline environment. In order to validate the model and evaluate the fuel consumption and performance of SPMR-PHEV, a Simulink based Prius model and two different PHEV powertrain models have also been built using Autonomie — a vehicle simulation tool developed by DOE’s Argonne National Laboratory, using the default control logics. Fuel consumption from the three different models were compared using a test drive case consisting of eight times of the US06-City drive cycle. Under the static modeling and simulation method and different control strategies, the SPMR-PHEV model in Simulink/SimDriveline and rule-based load-leveling EMS showed 12.02% fuel economy and powertrain efficiency improvements over the Autonomie model. The new powertrain system model developed using Simulink and SimDrivline could also be used as a generic, modular and flexible vehicle modeling platform to support the integration of powertrain design and control system optimization.

An adaptive equivalent consumption minimization strategy considering catalyst temperature for plug-in hybrid electric vehicle

2021 ◽  
pp. 095440702110434
Author(s):  
Tao Deng ◽  
Ke Zhao ◽  
Haoyuan Yu
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Test Procedure ◽  
Catalyst Temperature ◽  
Equivalent Factor ◽  
Simulation Results ◽  
Hybrid Electric ◽  
Equivalent Consumption Minimization Strategy

In the process of sufficiently considering fuel economy of plug-in hybrid electric vehicle (PHEV), the working time of engine will be reduced accordingly. The increased frequency that the three-way catalytic converter (TWCC) works in abnormal operating temperature will lead to the increasing of emissions. This paper proposes the equivalent consumption minimization strategy (ECMS) to ensure the catalyst temperature of PHEV can work in highly efficient areas, and the influence of catalyst temperature on fuel economy and emissions is considered. The simulation results show that the fixed equivalent factor of ECMS has great limitations for the underutilized battery power and the poor fuel economy. In order to further reduce fuel consumption and keep the emission unchanged, an equivalent factor map based on initial state of charge (SOC) and vehicle mileage is established by the genetic algorithm. Furthermore, an Adaptive changing equivalent factor is achieved by using the following strategy of SOC trajectory. Ultimately, adaptive equivalent consumption minimization strategy (A-ECMS) considering catalyst temperature is proposed. The simulation results show that compared with ordinary ECMS, HC, CO, and NOX are reduced by 14.6%, 20.3%, and 25.8%, respectively, which effectively reduces emissions. But the fuel consumption is increased by only 2.3%. To show that the proposed method can be used in actual driving conditions, it is tested on the World Light Vehicle Test Procedure (WLTC).

Design on Manipulator Hand Structure Working in the Radiation Environment

2013 ◽  
Vol 807-809 ◽  
pp. 1376-1379
Author(s):  
Yong Xia Liu ◽  
Shu Liang Zou ◽  
Zhi Feng He ◽  
De Zhang
Keyword(s):  
Control System ◽  
Structural Analysis ◽  
Modeling And Simulation ◽  
Motion Analysis ◽  
Radiation Environment ◽  
Simulation Technology ◽  
Kinematic Characteristics ◽  
Hydraulic Manipulator ◽  
Simulation Results

On the basis of the design and calculation, motion analysis and structural analysis were carried out on hydraulic manipulator hand structure working in the radiation environment by using modeling and simulation technology. Concluded that the simulation results can be intuitive to inspect the kinematic characteristics of the manipulator hand structure, and provide the basis for the design of the control system.

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