Fuel economy optimization of an Atkinson cycle engine using genetic algorithm

Zhao, Jinxing; Xu, Min

doi:10.1016/j.apenergy.2012.12.061

Cited by 79 publications

(30 citation statements)

References 23 publications

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“…Ref. [14] had applied penalty functions to GA optimization for an Atkinson engine, which is considered as a practical method to express the constraints. In such a GA model, the optimization results greatly rely on the selection of penalty parameters values: Inappropriate penalty values will reduce the efficiency, or even worse, cause the failure of optimization.…”

Section: Introductionmentioning

confidence: 99%

Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau

Zhu

Zhang

et al. 2015

Applied Energy

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Section: Introductionmentioning

confidence: 99%

Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau

Zhu

Zhang

et al. 2015

Applied Energy

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“…It follows that there is a possibility of applying a high geometric compression ratio while the effective compression ratio has a safe value due to knocking. On the other hand, the small volume of the combustion chamber using the entire length of the power stroke causes the engine to have a high expansion ratio, which directly affects the increase in the thermal efficiency of the theoretical cycle and the total efficiency of the engine [2]. It should be noted at this point that the increase in total efficiency is associated with a reduction * e-mail: bsendyka@pk.edu.pl in maximum performance resulting from a lower volumetric efficiency [3].…”

Section: Introductionmentioning

confidence: 99%

Increase of efficiency of SI engine through the implementation of thermodynamic cycle with additional expansion

Noga¹,

Sendyka²

2014

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The paper presents the theoretical basis and practical implementation of the concept of a five-stroke cycle where an additional expansion of the working medium is achieved in a separate cylinder. The work, carried out at the Cracow University of Technology, constitutes a development of the idea of five-stroke engine. This paper proposes a new theoretical thermodynamic cycle that describes the processes occurring in a five-stroke engine. It has been taken into consideration that the expansion ratio of the engine is twice the compression ratio. At the next step an analysis of the thermodynamic cycle with particular emphasis on its thermal efficiency compared to efficiency of four-stroke engine has been shown. In the second part of the article selected research results of the five-stroke engine built based on the existing four-cylinder spark ignition engine have been presented. A comparison of the total efficiency obtained by the engine in the four-and five-stroke version has been provided. Similar comparisons for specific emission of the selected exhaust components have also been given.Key words: innovative five-stroke engine cycle, Carnot Cycle, Otto cycle, five-stroke engine, additional expansion, increase of thermal efficiency of the five-stroke engine cycle.

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“…Since the 1970s, there has been an explosion in the application of new engineering techniques such as standard and multi-objective evolutionary algorithms (EAs) (Zhao and Min, 2013), (Kim et al, 2005) and artificial neural network-based surrogate models (Wu et al, 2006) to the optimization of different ICE actuator variables such as variable valve actuation (VVA), spark angle, and air-fuel (A/F) ratio (Sellnau and Rask, 2003;Zhao and Min, 2013) for fuel economy and emissions.…”

Section: Introductionmentioning

confidence: 99%

Biogeography-based optimization of a variable camshaft timing system

Thomas

Simon

Michelini

2015

Engineering Applications of Artificial Intelligence

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Automotive system optimization Design and analysis of computer experiments a b s t r a c t Automotive simulations often prohibit the use of traditional optimization techniques because these simulations are complex and computationally expensive. These two qualities motivate the use of evolutionary algorithms and meta-modeling techniques respectively. In this work, we apply biogeography-based optimization (BBO) to optimize radial basis function (RBF)-based lookup table controls of a variable camshaft timing system for fuel economy. Also, we reduce computational search effort by finding an effective parameterization of the problem, optimizing the parameters of the BBO algorithm for the problem, and estimating the cost of a portion of the candidate solutions in BBO with design and analysis of computer experiments (DACE). We find that we can improve fuel economy by 1.7% over the original control parameters, and we find a tradeoff in population size, and an optimal value for mutation rate. Finally, we find that we can use a small number of samples to construct DACE models, and we can use these models to estimate a significant portion of the candidate solutions each generation to reduce computation effort and still obtain good BBO solutions.

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Fuel economy optimization of an Atkinson cycle engine using genetic algorithm

Cited by 79 publications

References 23 publications

Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau

Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau

Increase of efficiency of SI engine through the implementation of thermodynamic cycle with additional expansion

Biogeography-based optimization of a variable camshaft timing system

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