A Real-Time Control Strategy for Plug-in Hybrid Electric Vehicle Based on the Maximization of Powertrain Efficiency

2017 ◽  
Author(s):  
Yuping Zeng
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Real Time Control ◽  
Time Control ◽  
Hybrid Electric

scholarly journals Fuzzy Logic Controller for Parallel Plug-in Hybrid Vehicle

2019 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Global Optimization ◽  
Real Time ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Real Time Control ◽  
Switching Strategy ◽  
Time Control ◽  
Hybrid Electric

Control strategies for hybrid electric vehicles are usually aimed at several simultaneous objectives. The primary one is usually the minimization of the vehicle fuel consumption, while also attempting to minimize engine emissions and maintaining or enhancing drivability. Regardless of the topology of the vehicle, the essence of the HEV control problem is the instantaneous management of the power flows from more devices to achieve the overall control objectives. One important characteristic of this generic problem is that the control objectives are mostly integral in nature (fuel consumption and emission per mile of travel), or semi-local in time like drivability, while the control actions are local in time. Furthermore, the control objectives are often subject to integral constraints, such as nominally maintaining the battery state-of-charge (SOC). The global nature of both objectives and constraints do not lend itself to traditional global optimization technique, because the main problem with global optimization index is whole of driving cycle should be predetermined and real time control strategy is not implemented simply. A common method to control of the complex dynamic systems with many uncertainties is designing some different of local controllers each for a specific operating area or determined objects and then designing of a switching strategy through the subsystems to achieve the global objectives of the system. In this research, the control structure has been investigated due to the complexity of hybrid electric vehicle powertrain. From the view point of hierarchy, the switching strategy relates to upper hierarchy and plays the key role in systems operating. Then for each subsystems of hybrid electric vehicle, itself local controller has been designed and after that in order to achieve the operating objectives, switching strategy through subsystems for the real time control strategy has been designed.

scholarly journals Real time control of hybrid electric vehicle on a prescribed road

2008 ◽  
Vol 41 (2) ◽  
pp. 3356-3361
Author(s):  
S. Kermani ◽  
S. Delprat ◽  
T.M. Guerra ◽  
R. Trigui
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Real Time Control ◽  
Time Control ◽  
Hybrid Electric

Development of Real-Time Control for a Hydrogen Powered Hybrid Electric Vehicle

2005 ◽  
Author(s):  
Xiaolai He ◽  
Andrew Leslie ◽  
Jaakko Halmari ◽  
Aaron Cordaway ◽  
Tim Maxwell ◽  
...  
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Real Time Control ◽  
Time Control ◽  
Hybrid Electric

scholarly journals The Development and Verification of a Novel ECMS of Hybrid Electric Bus

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Jun Wang ◽  
Qing-nian Wang ◽  
Peng-yu Wang ◽  
Xiao-hua Zeng
Keyword(s):  
Real Time ◽  
Fuel Economy ◽  
Control Strategy ◽  
Hardware In The Loop ◽  
Real Time Control ◽  
Hybrid Electric Bus ◽  
Time Control ◽  
Electric Bus ◽  
Hybrid Electric ◽  
Strategy Design

This paper presents the system modeling, control strategy design, and hardware-in-the-loop test for a series-parallel hybrid electric bus. First, the powertrain mathematical models and the system architecture were proposed. Then an adaptive ECMS is developed for the real-time control of a hybrid electric bus, which is investigated and verified in a hardware-in-the-loop simulation system. The ECMS through driving cycle recognition results in updating the equivalent charge and discharge coefficients and extracting optimized rules for real-time control. This method not only solves the problems of mode transition frequently and improves the fuel economy, but also simplifies the complexity of control strategy design and provides new design ideas for the energy management strategy and gear-shifting rules designed. Finally, the simulation results show that the proposed real-time A-ECMS can coordinate the overall hybrid electric powertrain to optimize fuel economy and sustain the battery SOC level.

Sign in / Sign up

Export Citation Format

Share Document