A novel genetic programming approach to the design of engine control systems for the voltage stabilization of hybrid electric vehicle generator outputs

Gladwin, Daniel T.; Stewart, Paul; Stewart, Jill

doi:10.1177/0954407011407414

Cited by 7 publications

(3 citation statements)

References 34 publications

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“…The predictive methods add computational complexity to the system and rely on accurate system and delay models. To overcome this delay problem, genetic programming was used to design a controller [102], which does not rely on the computationally expensive structures and yet encompasses the disturbance rejection properties.…”

Section: H Control In Nongasoline Enginesmentioning

confidence: 99%

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Tayarani-N.

Yao

2015

IEEE Trans. Evol. Computat.

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Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy. Due to their great potential in solving difficult optimization problems, metaheuristic algorithms have found their way into automobile engine design. There are different optimization problems arising in different areas of car engine management including calibration, control system, fault diagnosis, and modeling. In this paper we review the state-of-the-art applications of different meta-heuristic algorithms in engine management systems. The review covers a wide range of research, including the application of meta-heuristic algorithms in engine calibration, optimizing engine control systems, engine fault diagnosis, and optimizing different parts of engines and modeling. The metaheuristic algorithms reviewed in this paper include evolutionary algorithms, evolution strategy, evolutionary programming, genetic programming, differential evolution, estimation of distribution algorithm, ant colony optimization, particle swarm optimization, memetic algorithms, and artificial immune system.

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Section: H Control In Nongasoline Enginesmentioning

confidence: 99%

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Tayarani-N.

Yao

2015

IEEE Trans. Evol. Computat.

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“…An automatic design method based on genetic programming was studied by Gladwin based on the stabilized voltage output of a generator. The controller was developed based on the genetic programming framework in MATLAB, and the control system was designed using Simulink to achieve stable and continuous power generation from the generator set [19]. Still, the shortcomings of considerable size and poor heat dissipation need to be solved through integrated design and compact design of the variable pump, dosing motor, reducer, fuel tank and radiator.…”

Section: Introductionmentioning

confidence: 99%

Simulation and experimental study of a magnetorheological clutch in driving power generation

Shi

et al. 2023

Preprint

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The torque to volume ratio and time response characteristics of the clutch during vehicle travel power generation are important issues that affect the quality and efficiency of power generation. In this work, a magnetorheological clutch was established based on the magnetorheological effect and analyzed its magnetic field strength, maximum output torque, time response characteristics, and temperature rise characteristics in driving power generation. The results indicate that the maximum torque of 77.05 N·m is only 3.68% less than the designed value. MR clutches have a better torque to volume ratio for the same volume. The MR clutch can realize millisecond regulation of power output characteristics, the response time of the torque loading section is about 345 ms, while the response time of the torque withdrawal section is about 680 ms. The MR clutch has good heat dissipation performance with an external water-cooling device. Using an MR clutch as a governor for traveling vehicle power generation, the time-varying engine speed is converted to a constant speed by continuously adjusting the excitation current, which can provide more efficient power generation.

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“…Therefore, ISG technology becomes an important branch of HEV research. [5][6][7][8] Switched reluctance machines (SRM) have been considered a good choice for ISG machines. 1,3,4,7 The design methodology for the switched reluctance motor/ generator has been introduced by Faiz and Moayed-Zadeh, and is based on pre-defined equations with the objective functions as high torque over low speed and high efficiency over high speed.…”

Section: Introductionmentioning

confidence: 99%

Study on the 12-10 flux switching integrated-starter-generator for hybrid electric vehicle application

Cui

Zhao

Chen

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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An integrated-starter-generator (ISG) system provides a cheap hybrid power strategy for hybrid electric vehicles (HEV). 12-10 flux switching integrated-starter-generator (FSISG) is one type of ISG machine, which employs the flux switching topological structure to improve the performance. In this paper, a prototype of 12-10 FSISG with the improved structure, which was employed to improve the manufacturability, was analyzed and studied. Through numerical studies, the influences of the improved structure and the characteristics of 12-10 FSISG were revealed. According to finite element analysis (FEA) results, the output voltage of FSISG can be considered as sinusoidal voltage. The results of the output torque show that the excitation current density of FSISG should be limited to less than 9 A/mm2 to avoid serious magnetic saturation. Next, the experimental tests of the prototype were carried out on the testing platform. In generating mode, the experiment results indicate that FSISG can output electrical energy with high efficiency in wide speed and torque ranges. In starting mode, the maximum starting torque of the prototype is 10.5 Nm. During the starting procedure, the prototype reaches a steady state rapidly. In the variable load conditions, it shows a rapid response ability to the changes of loads. According to the experiment results in this paper, the 12-10 FSISG has shown a promising performance for HEV application in both generating mode and starting mode.

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A novel genetic programming approach to the design of engine control systems for the voltage stabilization of hybrid electric vehicle generator outputs

Cited by 7 publications

References 34 publications

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Simulation and experimental study of a magnetorheological clutch in driving power generation

Study on the 12-10 flux switching integrated-starter-generator for hybrid electric vehicle application

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