Dynamic modeling of a SI/HCCI free-piston engine generator with electric mechanical valves

Chiang, Chia‐Jui; Yang, Jinn‐Shyong; Lan, Shao-Ya; Shei, Tsung-Wei; Chiang, Wen-Shu; Chen, Bo-Liang

doi:10.1016/j.apenergy.2012.07.033

Cited by 37 publications

(23 citation statements)

References 26 publications

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“…Besides, the engine performance in HCCI combustion was higher than in SI combustion, while the in-cylinder peak temperature in HCCI combustion was much lower than that in SI combustion, which resulted in decreasing NO x emissions [12]. Those results are similar to those presented by Chiang et al [82]. Although many investigations have considered HCCI combustion in FPLEs, most of them used only simulations [22,24,[77][78][79][80][81][82].…”

Section: Hcci Combustionsupporting

confidence: 86%

“…Their simulation results showed that the HCCI-FPLE achieved better efficiency and much lower peak temperature (and thus much lower NO x emissions) than the SI-FPLE, as shown in Fig. 31 [82]. Hung et al [22] also used the Wiebe function to model SI and HCCI combustion.…”

Section: Hcci Combustionmentioning

confidence: 94%

“…To obtain successful HCCI combustion in an FPLE, a simplified model and cycle-tocycle coupling between piston motion and the combustion process need to be proposed. In control-oriented HCCI investigations, the single-Wiebe function can predict HCCI combustion [80][81][82]. One limitation of the single-Wiebe function is that it does not well predict combustion during the premix phase, as shown with a dieselfueled engine [80].…”

Section: Hcci Combustionmentioning

confidence: 98%

“…They used the Wiebe function to predict SI and HCCI combustion and showed that it gave results similar to experimental data at different operating conditions. Chiang et al [82] presented a simulation study of an SI/HCCI FPLE that used electric mechanical valves to provide the flexibility for almost instantaneous control of the valve timings during the transition from SI to HCCI combustion through a lean SI combustion mode. In other words, they controlled the opening and closing timings of the electric mechanical valves to control the scavenging process, which they considered important to obtaining successful HCCI combustion in a freepiston engine [77].…”

Section: Hcci Combustionmentioning

confidence: 99%

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A review of free-piston linear engines

2016

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Section: Hcci Combustionsupporting

confidence: 86%

Section: Hcci Combustionmentioning

confidence: 94%

Section: Hcci Combustionmentioning

confidence: 98%

Section: Hcci Combustionmentioning

confidence: 99%

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A review of free-piston linear engines

2016

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“…Free-piston engine (FPE) technology is currently being explored by a number of research groups worldwide, including the authors' group [1][2][3][4][5][6][7][8]. A significant driving force is the automotive industry's increasing investment in hybrid-electric vehicle technology.…”

Section: Introductionmentioning

confidence: 99%

A Decoupled Design Parameter Analysis for Free-Piston Engine Generators

et al. 2017

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Abstract:The free-piston engine generator (FPEG) is a novel power generation device with an estimated brake efficiency (energy contained in the fuel that is transformed into useful work) of up to 46%, compared to the 25-35% reported in conventional reciprocating engines. This paper seeks to address a major challenge in the development of new and complex technologies-how do we effectively communicate and understand the influence of key design parameters on its operating performance? In this paper, the FPEG is described using a simple numerical model, a model which is reduced to a forced mass-spring vibration system under external excitation, enabling all the major input parameters to be decoupled. It proved that the engine piston position as a function of time and output power could be predicted directly from the input parameters with acceptable accuracy. The influence of the key FPEG design parameters on the piston oscillation characteristics and electric power output can be characterised with respect to one another and summarised. Key design parameters include piston mass, compression stroke length, piston cross sectional area, and electric load. Compared with previous and more complex numerical models, the presented methods can be used to simply describe the sensitivity of key design parameters on the FPEG performance. It will provide useful general guidance for the FPEG hardware design process.

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