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.

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.

0D-1D Coupling for an Integrated Fuel Economy Control Strategy for a Hybrid Electric Bus

2011 ◽  
Author(s):  
Laura Tribioli ◽  
Fabrizio Martini ◽  
Giovanni Pede ◽  
Carlo Villante
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Hybrid Electric

Optimization of Hybrid Electric Bus Control Strategy with Hybrid Optimization Algorithm

2013 ◽  
Vol 341-342 ◽  
pp. 924-930
Author(s):  
Jian Ping Gao ◽  
Zhen Nan Liu ◽  
Zhi Jun Guo ◽  
Yue Hui Wei
Keyword(s):  
Optimization Algorithm ◽  
Fuel Economy ◽  
Control Strategy ◽  
Dynamic Performance ◽  
Hybrid Optimization ◽  
Hybrid Electric Bus ◽  
Hybrid Optimization Algorithm ◽  
Electric Bus ◽  
Hybrid Electric ◽  
Strategy Parameters

control strategy is one of the most decisive techniques in Hybrid Electric Bus (HEB) and directly influences the dynamic performance and fuel economy. For achieving the best fuel economy and keeping the battery for a long time, First, power analytic control strategy was built; then, the hybrid optimization algorithm (HOA) based on Multi-island genetic Algorithm (MIGA) and NLPQL was built by ISIGHT software. HOA is adopted in control strategy parameters of HEB optimization. The results show that the best result can be obtained in few iterative times by HOA, the calculation time was reduce by 12 hours, the fuel economy was improved by 12% and find the rules between control strategy parameters and fuel economy the balance of the battery state of charge (SOC).

scholarly journals Real-Time Control Strategy of Fuel Cell and Battery System for Electric Hybrid Boat Application

2021 ◽  
Vol 13 (16) ◽  
pp. 8693
Author(s):  
Ahmed Al Amerl ◽  
Ismail Oukkacha ◽  
Mamadou Baïlo Camara ◽  
Brayima Dakyo
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Control Strategy ◽  
Storage System ◽  
Effective Control ◽  
Real Time Control ◽  
Loop Control ◽  
Time Control ◽  
Hybrid Electric ◽  
Varying Demand

In this paper, an effective control strategy is proposed to manage energy distribution from fuel cells and batteries for hybrid electric boat applications. The main objectives of this real-time control are to obtain fast current tracking for the batteries’ system, the DC bus voltage stability by using a fuel cell, and energy load distribution for a hybrid electric boat under varying demand conditions. The proposed control strategy is based on a combination of frequency approach and current/voltage control of interleaved boost converters to reduce the hydrogen consumption by the fuel cell and improve the quality of energy transfer. The frequency approach was dedicated to managing the DC power-sharing between the load, the fuel cell, and the batteries’ storage system by extracting the power references. The closed loop control system utilized to control the energy is based on the DC/DC converters. The performance evaluation of the proposed control strategy has been tested through a real-time experimental test bench based on a dSPACE board (DS1104).

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