Parameter matching and control strategy of parallel power train system for CNG-electric hybrid urban bus

2012 ◽  
Vol 4 (3) ◽  
pp. 248 ◽  
Author(s):  
Qiping Chen ◽  
Hongyu Shu ◽  
Bo Chen ◽  
Jianhui Du ◽  
Shen Zhuang
Keyword(s):  
Control Strategy ◽  
Power Train ◽  
Parameter Matching ◽  
Urban Bus ◽  
And Control ◽  
Train System

scholarly journals Dynamic Modeling and Control Strategy Optimization for a Hybrid Electric Tracked Vehicle

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Hong Wang ◽  
Qiang Song ◽  
Shengbo Wang ◽  
Pu Zeng
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Working Condition ◽  
System Model ◽  
Power Train ◽  
Modeling And Control ◽  
Software Simulation ◽  
Hybrid Electric ◽  
And Control ◽  
Train System

A new hybrid electric tracked bulldozer composed of an engine generator, two driving motors, and an ultracapacitor is put forward, which can provide high efficiencies and less fuel consumption comparing with traditional ones. This paper first presents the terramechanics of this hybrid electric tracked bulldozer. The driving dynamics for this tracked bulldozer is then analyzed. After that, based on analyzing the working characteristics of the engine, generator, and driving motors, the power train system model and control strategy optimization is established by using MATLAB/Simulink and OPTIMUS software. Simulation is performed under a representative working condition, and the results demonstrate that fuel economy of the HETV can be significantly improved.

Basic Simulation Study during the Process of Designing the Hybrid Power Train Equipped with Planetary Transmission

2013 ◽  
pp. 322-356
Keyword(s):  
Control Strategy ◽  
Electricity Consumption ◽  
System Optimization ◽  
Minimal Energy ◽  
Simulation Research ◽  
Power Train ◽  
Hybrid Power ◽  
Driving Cycles ◽  
Planetary Transmission ◽  
And Control

Chapter 9 is devoted to simulation research showing the influence of changes of the power train’s parameters and control strategy on the vehicle’s energy consumption, depending on different driving conditions. The control strategy role is to manage how much energy, frankly speaking, how much of the torque-speed relations referring to the power alteration, are flowing to or from each component. In this way, the components of the hybrid power train have to be integrated with a control strategy, and of course, with its energetic parameters to achieve the optimal design for a given set of constraints. The hybrid power train is very complex and non-linear to its every component. One effective method of system optimization is numerical computation, the simulation, as in the case of the multivalent suboptimal procedure regarding the number of electrical mechanical drive’s elements, whose simultaneous operation is connected with the proper energy flow control. The minimization of a power train’s internal losses is the target. The quality factor is minimal energy, as well as minimal fuel and electricity consumption. The fuel consumption by the hybrid power train has to be considered in relation to the conventional propelled vehicle. First of all, the commonly chosen statistic driving cycles should be taken into consideration. Unfortunately, this is not enough. The additional tests as for the vehicle’s climbing, acceleration, and power train behavior, referring to real driving situations, are strongly recommended during the drive design process.

Analysis of Control Strategy for Extended-Range Electric Vehicle

2011 ◽  
Vol 135-136 ◽  
pp. 261-267
Author(s):  
Hai Tao Min ◽  
Dong Jin Ye ◽  
Yuan Bin Yu
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Optimal Strategy ◽  
Control Strategies ◽  
Power Train ◽  
Operating Modes ◽  
Load Following ◽  
Extended Range ◽  
Main Components ◽  
And Control

This paper introduced the structure of Extended-Range Electric Vehicles as well as its characteristics. Principle researches have been offered on the parameters matching of the power-train and main components. Operating modes and control strategies were discussed, especially the two control strategies of charge sustaining mode which is shown as load following strategy and engine optimal strategy, and the effects of both control strategies are simulated and analyzed. The results indicate that the load following strategy can obviously extend battery’s lifespan, but the engine optimal strategy can reduce fuel consumption and emission effectively.

scholarly journals Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy

2013 ◽  
Vol 14 (1) ◽  
pp. 65-80 ◽  
Author(s):  
C. Osornio-Correa ◽  
R.C. Villarreal-Calva ◽  
J. Estavillo-Galsworthy ◽  
A. Molina-Cristóbal ◽  
S.D. Santillán-Gutiérrez
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Maximum Energy ◽  
Power Train ◽  
Energy Economy ◽  
Hybrid Electric ◽  
And Control

scholarly journals Research on Parameter Matching and Control Strategy of Load Isolation Pure Electric Driving Vehicles

2017 ◽  
Vol 105 ◽  
pp. 4040-4045 ◽  
Author(s):  
Jichao Hong ◽  
Zhenpo Wang ◽  
Peng Liu ◽  
Tiezhu Zhang ◽  
Huaixian Yin ◽  
...  
Keyword(s):  
Control Strategy ◽  
Electric Driving ◽  
Parameter Matching ◽  
And Control
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