Z
Zilei Zhang
Researcher at Jilin University
Publications - 9
Citations - 232
Zilei Zhang is an academic researcher from Jilin University. The author has contributed to research in topics: Lean burn & Compression ratio. The author has an hindex of 3, co-authored 3 publications receiving 134 citations. Previous affiliations of Zilei Zhang include Bosch.
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Assessment of ultra-lean burn characteristics for a stratified-charge direct-injection spark-ignition methanol engine under different high compression ratios
TL;DR: In this paper, a non-uniform 10-hole, 0.30mm spray-line distribution nozzle was chosen to achieve stratified charge of the methanol/air mixture.
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Computational study of nozzle spray-line distribution effects on stratified mixture formation, combustion and emissions of a high compression ratio DISI methanol engine under lean-burn condition
TL;DR: In this paper, five different spray-line distribution nozzles were designed to evaluate the effect of the nozzle spray line distribution on stratified charge combustion of methanol engine.
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Optimization on timings of injection and spark of a high compression-ratio stratified-charge methanol engine under ultra-lean burn
TL;DR: In this article, the effect of timings of injection and spark on the concentration field of the stratified-charge mixture, combustion and emissions behaviors of methanol engine under ultra-lean burn conditions was studied by simulation.
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Control Strategy of Flywheel Energy Storage System Based on Primary Frequency Modulation of Wind Power
TL;DR: In this paper , a flywheel energy storage system with a three-phase permanent magnet synchronous motor was used as the drive motor of the system, and a simulation study on the control strategy of the flywheel system was conducted based on the primary frequency modulation of wind power.
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Probabilistic multi-energy flow calculation method for integrated heat and electricity systems considering correlation of source–load power
TL;DR: In this article , a calculation method of electricity-heating coupling probabilistic multi-energy flow considering the correlation and uncertainty of input variables is proposed, where the triangular fuzzy number is proposed to describe the correlation between variables, and the fuzzy correlation model of random variables of source and load is established by means of Gauss-Hermite integral and Nataf inverse transformation; the output state variables are fitted using the cumulant method and Cornish-Fisher series expansion to obtain the probability distribution of the output variables.