Automatic calibration algorithm of 0-D combustion model applied to DICI diesel engine

Hu, Song; Wang, Hechun; Niu, Xuming; Li, Xu; Wang, Yinyan

doi:10.1016/j.applthermaleng.2017.11.013

Cited by 12 publications

(2 citation statements)

References 34 publications

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“…Although compared with the three Wiebe equations, the unknown quantity is reduced by 3, it still cannot be solved by simple formula fitting. Hechun Wang [12] solved the equation by using Levenberg-Marquardt (LM). The LM algorithm is a kind of least squares method, but the optimization adjustment of the solution process is realized by increasing the adjustment factor, and then a more accurate solution is obtained.…”

Section: Combustion Model Parameter Solvingmentioning

confidence: 99%

Modeling Method of Engine Zero-dimensional Combustion Model Based on PSO Algorithm Optimization

Wang

et al. 2023

J. Phys.: Conf. Ser.

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To improve the low accuracy of the zero-dimensional combustion model established by BP-NN, a particle swarm-neural network (PSO-NN) algorithm was proposed. The PSO optimize weights and thresholds of NN, and the operating and combustion parameters are constructed, and then compared with NN algorithm. The results show that comparing with NN algorithm, the zero-dimensional combustion model constructed by PSO-NN algorithm has higher prediction accuracy, and the mean square error of the main combustion period m is 0.0034, which is 78.21% lower than that before optimization. The particle swarm algorithm has quicker convergence and stronger versatility, which is suitable for the study of diesel engine 0-D model.

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Section: Combustion Model Parameter Solvingmentioning

confidence: 99%

Modeling Method of Engine Zero-dimensional Combustion Model Based on PSO Algorithm Optimization

Wang

et al. 2023

J. Phys.: Conf. Ser.

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“…Liu and Dumitrescu 17 gave a detailed description of different double Wiebe function formats to improve the simulation accuracy. Hu et al 18 developed an automatic algorithm to determine and calibrate the number of Wiebe functions and the parameters. The algorithm can improve the simulation accuracy by classifying the different HRR situations.…”

Section: Introductionmentioning

confidence: 99%

Modeling of 0-D heat release rate of heavy-duty diesel engine based on classification algorithm

Liu

Yao

Chen

et al. 2022

International Journal of Engine Research

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With the shortage of fossil fuel and the strengthening of emission regulations, the control strategy using in-cylinder pressure signals has caused extensive concern. Modeling the combustion heat release rate is an indispensable work along with the in development of the diesel combustion control hardware-in-loop system. Based on the analysis of experimental data, four combustion modes are proposed in this paper. The Wiebe-based functions developed for each combustion mode are given. According to experimental launch data, the combustion mode is classified automatically using the multi-classification support vector machine algorithm. The LM-Chaos algorithm based on function parameter identification is proposed. The results show that HRR shape is mainly related to the rate of premixed combustion and diffusion combustion under different operating conditions, and the variation of HRR directly affects the structure of Wiebe-based function. Different combustion modes can be simulated by selecting the starting time of combustion, the duration of combustion phases and the co-existence time of combustion phases. This method can simulate the heat release curves of various working conditions and improve the fitting of heat release curves of long combustion time by adding error function.

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Calibration of 0-D combustion model applied to dual-fuel engine

Wang

et al. 2022

Energy

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Automatic calibration algorithm of 0-D combustion model applied to DICI diesel engine

Cited by 12 publications

References 34 publications

Modeling Method of Engine Zero-dimensional Combustion Model Based on PSO Algorithm Optimization

Modeling Method of Engine Zero-dimensional Combustion Model Based on PSO Algorithm Optimization

Modeling of 0-D heat release rate of heavy-duty diesel engine based on classification algorithm

Calibration of 0-D combustion model applied to dual-fuel engine

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