Matching and Optimization for Powertrain System of Parallel Hybrid Electric Vehicle

2013 ◽  
Vol 341-342 ◽  
pp. 423-431
Author(s):  
Jian Ping Gao ◽  
Yue Hui Wei ◽  
Zhen Nan Liu ◽  
Hong Bing Qiao
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Dynamic Performance ◽  
Hybrid Powertrain ◽  
Parallel Hybrid Electric Vehicle ◽  
Powertrain System ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Avl Cruise

The parameters matching of the hybrid powertrain system of the hybrid electric vehicle has a directly impact on the performance of the vehicle dynamic and the fuel economy. The preliminary match of the powertrain system base on analysis of Driving Cycle is done, then the software of AVL-Cruise and Matlab are integrated with Isight to optimize parameters of match, by using the Multi-Island GA and NLPQL to establish the combinatorial optimization algorithm. The results show that the fuel economy have been improved by 10.92% without sacrificing the dynamic performance and under the premise of ensuring the limits of the state of charge of battery.

Research on the Dynamic Performance and Parameter Design of Parallel Hybrid Electric Vehicle

2010 ◽  
Vol 108-111 ◽  
pp. 613-618
Author(s):  
Wei Zheng ◽  
Qian Fan Zhang ◽  
Shu Mei Cui
Keyword(s):  
Electric Vehicle ◽  
Power Distribution ◽  
Hybrid Electric Vehicle ◽  
Dynamic Models ◽  
Parametric Design ◽  
Combustion Engine ◽  
Dynamic Performance ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

According to the Parallel Hybrid Electric Vehicle (PHEV) demands on powertrain systems, the dynamic models of PHEV are built in this paper. Base on the analysis of dynamical characteristics of both internal combustion engine (ICE) and electric machine (EM), the dynamic ability and fuel economy performance of PHEV is presented. The paper focuses on the parametric design of powertrain on vehicle performance, which provided the theoretical foundation for PHEV design. The paper also puts forward the control strategy of PHEV during the operating modes switching, which aims to solve the problem of the power distribution between the ICE and electric motor, which can effectively resolve process control problems of the complex PHEV system. By employing the dynamic model and performing MATLAB simulation, the results of simulation are given, which demonstrate that the PHEV improve performance well.

Speed and Throttle Position Forecasting on a Parallel Hybrid Electric Vehicle

2003 ◽  
Author(s):  
Christian M. Muehlfeld ◽  
Sudhakar M. Pandit
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Feedforward Control ◽  
Vehicle Simulation ◽  
The Road ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

Included in this paper is the forecasting of the speed and throttle position on a thru-the-road parallel hybrid electric vehicle (HEV). This thru-the-road parallel hybrid design is implemented in a 2002 model year Ford Explorer XLT, which is also the Michigan Tech Future Truck. Data Dependent Systems (DDS) forecasting is used in a feedforward control algorithm to improve the fuel economy and to improve the drivability. It provides a one step ahead forecast, thereby allowing the control algorithm to always be a step ahead, utilizing the engine and electric motor in their most efficient ranges. This control algorithm is simulated in PSAT, a hybrid vehicle simulation package, which can estimate the fuel economy and certain performance characteristics of the vehicle. In this paper a fuel economy savings of 2.2% is shown through simulation. Charge sustainability was achieved along with drivability being improved as indicated by the reduction in number of deviations from the speed profile in the driving cycle.

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