Parametric Design of Parallel Hybrid Power-train for Transit Bus

Author(s):  
Liang Chu ◽  
Qingnian Wang ◽  
Minghui Liu ◽  
Jun Li
2003 ◽  
Author(s):  
Liang Chu ◽  
Qingnian Wang ◽  
Minghui Liu ◽  
Jun Li

2004 ◽  
Author(s):  
Liang Chu ◽  
Qingnian Wang ◽  
Minghui Liu ◽  
Jun Li

Chapter 7 is devoted to the basic and existing in present-day vehicles, power train modeling, and simulation. Generally, there are series and parallel hybrid power trains. In both cases, the role of the internal combustion engine and its dynamic modeling is significant. The two aspects of modeling should be considered. The one devoted to the energy distribution, the second to the local internal combustion engine’s control. For the Internal Combustion Engine (ICE) the dynamic modeling method is proposed. Using the simulation of the well-determined map of the ICE can be accepted. In the practical application of a series power train, it is necessary to consider different control strategies of the internal combustion engine’s operation. The most significant are the “constant torque” and the “constant speed” control method. The other important problem, because the Internal Combustion Engine’s (ICE) generator unit is a strong nonlinear object, is the modeling of the permanent magnet generator, connected by the shaft with the ICE. As for the common parallel hybrid power train, two of its types were, in dynamic modeling, tested by simulation. One of them is the hybrid power train equipped with an automatic (robotized) transmission. Generally, it is possible to state that this transmission can be used as the Automatic Manual Transmission (AMT) or the Dual Clutch. The second one is the split sectional hybrid power train and is the most simple solution. The Hybrid Split Sectional Drive (HSSD) applied in an urban bus is also presented.


2004 ◽  
Author(s):  
Liang Chu ◽  
Qingnian Wang ◽  
Minghui Liu ◽  
Jun Li

Chapter 10 presents the principles of the plug-in hybrid power train (PHEV) operation. The power trains of the battery-powered vehicle (BEV – pure electric) are close to the plug in hybrid drives. For this reason, the pure electric mode of operation of the plug in hybrid power train is very important. The vehicle’s range of driving autonomy must be extended. It means the design process has to be focused on energy economy, emphasizing electricity consumption. Simultaneously, the increasing of the battery’s capacity causes its mass and volume also to increase. Generally, it is not recommended. After many tests, one can observe the strong dependence between the proper multiple gear speed, the proper mechanical transmission adjustment, and the vehicle’s driving range, which in the case of the plug-in hybrid power train means long distance of a drive using the majority the battery’s energy. The mechanical ratio’s proper adjustment and its influence on the vehicle’s driving range autonomy is discussed in the chapter. Three types of the automatic mechanical transmission are depicted: the toothed gear (ball), the belt’s continuously variable transmission, and the planetary transmission system called the “Compact Hybrid Planetary Transmission Drive,” equipped additionally with tooth gear reducers, connected or disconnected by the specially constructed electromagnetic clutches. The number of mechanical ratios—gear speeds—depends on the vehicle’s size, mass, and function, which in the majority of cases means the maximal speed value.


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.


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