Design of a Switched Reluctance Generator Drive System for Hybrid Electric Vehicles

2010 ◽  
Vol 143-144 ◽  
pp. 1027-1030
Author(s):  
Ai Hua Wu ◽  
Jing Feng Mao ◽  
Guo Qing Wu ◽  
Zhi Li ◽  
Fei Zheng
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Control Method ◽  
Experimental System ◽  
Drive System ◽  
Switched Reluctance ◽  
Hybrid Electric ◽  
Set Up ◽  
Starter Generator ◽  
Charge Mode

In this paper, the design and implementation of a 12/10 poles 6-phase switched reluctance generator (SRG) drive system for hybrid electric vehicles (HEVs) is investigated. Firstly, the principle of the SRG, its control parameters and operation characteristics are analyzed. Then, according to the requirements of the SRG using as an integrated starter generator for HEVs, an optimized switch angle position with current chopping control method is proposed to regulate the SRG power output. In order to improve the charge performance and extend the service life, the lead-acid battery group uses a two-stage charge mode, which is realized by two digital power regulators of the SRG. After that, an experimental system is set up and the controller's internal circuit is described. At last, the proposed SRG drive system is verified by experimental results.

scholarly journals Control Methods for Performance Improvement of an Integrated On-Board Battery Charger in Hybrid Electric Vehicles

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2506
Author(s):  
Yeongsu Bak ◽  
Ho-Sung Kang
Keyword(s):  
Performance Improvement ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Control Method ◽  
Control Methods ◽  
Battery Charger ◽  
Generator System ◽  
Battery Charging ◽  
Hybrid Electric ◽  
Starter Generator

This paper presents control methods for performance improvement of an integrated on-board battery charger (OBC) in hybrid electric vehicles (HEVs). HEVs generally consist of an OBC and a starter generator system (SGS). Since these each have a power conversion device for independent operation, such as battery charging and starter generator driving for engine starting, it necessarily increases the number of components, weight, and volume of the HEV. In order to overcome these disadvantages, recent research concerning the integrated OBC has progressed. Although it demands installation of power relays and an additional circuit, the integrated OBC is effectively operated for battery charging and starter generator driving. This paper proposes not only a harmonic reduction method of grid current, but also a feed-forward control method for performance improvement of the integrated OBC in HEVs. The effectiveness of the proposed control methods is verified by simulation and experimental results.

scholarly journals A Novel Control Method of Clutch During Mode Transition of Single-Shaft Parallel Hybrid Electric Vehicles

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 54 ◽  
Author(s):  
Jingang Ding ◽  
Xiaohong Jiao
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Control Method ◽  
Transition Process ◽  
Operating Mode ◽  
Mode Transition ◽  
Control Approach ◽  
Proportional Integral ◽  
Parallel Hybrid ◽  
Hybrid Electric

The mode transition of single-shaft parallel hybrid electric vehicles (HEVs) between engine and motor has an important impact on power and drivability. Especially, in the process of mode transition from the pure motor-drive operating mode to the only engine-drive operating mode, the motor starting engine and the clutch control problem have an important influence on driving quality, and solutions have a bit of room for improving dynamic performance. In this paper, a novel mode transition control method is proposed to guarantee a fast and smooth mode transition process in this regard. First, an adaptive sliding mode control (A-SMC) strategy is presented to obtain the desired torque trajectory of the clutch transmission. Second, a proportional-integral (PI) observer is designed to estimate the actual transmission torque of the clutch. Meanwhile, a fractional order proportional-integral-differential (FOPID) controller with the optimized control parameters by particle swarm optimization (PSO) is employed to realize the accurate position tracking of the direct current (DC) motor clutch so as to ensure clutch transmission torque tracking. Finally, the effectiveness and adaptability to system parameter perturbation of the proposed control approach are verified by comparison with the traditional control strategy in a MATLAB environment. The simulation results show that the driving quality of the closed-loop system using the proposed control approach is obviously improved due to fast and smooth mode transition process and better adaptability.

scholarly journals Model Predictive Control for Connected Hybrid Electric Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Kaijiang Yu ◽  
Xiaozhuo Xu ◽  
Qing Liang ◽  
Zhiguo Hu ◽  
Junqi Yang ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Control Method ◽  
Fuel Efficiency ◽  
Computation Method ◽  
Hybrid Electric

This paper presents a new model predictive control system for connected hybrid electric vehicles to improve fuel economy. The new features of this study are as follows. First, the battery charge and discharge profile and the driving velocity profile are simultaneously optimized. One is energy management for HEV forPbatt; the other is for the energy consumption minimizing problem of acc control of two vehicles. Second, a system for connected hybrid electric vehicles has been developed considering varying drag coefficients and the road gradients. Third, the fuel model of a typical hybrid electric vehicle is developed using the maps of the engine efficiency characteristics. Fourth, simulations and analysis (under different parameters, i.e., road conditions, vehicle state of charge, etc.) are conducted to verify the effectiveness of the method to achieve higher fuel efficiency. The model predictive control problem is solved using numerical computation method: continuation and generalized minimum residual method. Computer simulation results reveal improvements in fuel economy using the proposed control method.

Sign in / Sign up

Export Citation Format

Share Document