Zhuoyao He

Dr. Zhuoyao He


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 July 2023 in Sensors
Verified
Journal Article
Open access
PDF file
ZHZhuoyao He
Zhuoyao He
David Martin GomezDavid Martin Gomez
David Martin Gomez
Arturo De La EscaleraArturo De La Escalera
Arturo De La Escalera
PPPablo Flores Peña
Pablo Flores Peña
XLXingcai Lu
Xingcai Lu
Jose Maria ArmingolJose Maria Armingol
Jose Maria Armingol
Unmanned aerial vehicles (UAVs) have drawin increasing attention in recent years, and they are widely applied. Nevertheless, they are generally limited by poor flight endurance because of the limited energy density of their batteries. A robust power supply is indispensable for advanced UAVs; thus hybrid power might be a promising solution. State of charge (SOC) estimation is essential for the power systems of UAVs. The limitations of accurate SOC estimation can be partly ascribed to the inaccuracy of open circuit voltage (OCV), which is obtained through specific forms of identification. Considering the actual operation of a battery under hybrid conditions, this paper proposes a novel method, “fast OCV”, for obtaining the OCVs of batteries. It is proven that fast OCV offers great advantages, related to its simplicity, duration and cost, over traditional ways of obtaining OCV. Moreover, fast-OCV also shows better accuracy in SOC estimation than traditional OCV. Furthermore, this paper also proposes a new method, “batch mode”, for talking-data sampling for battery-parameter identification with the limited-memory recursive least-square algorithm. Compared with traditional the “single mode”, it presents good de-noising effect by making use of all the sampled battery’s terminal current and voltage data.

20 May 2022 in Journal of Engineering for Gas Turbines and Power
Verified
Journal Article
Closed access
PDF file
QZQiankun Zhang
Qiankun Zhang
JXJin Xia
Jin Xia
JWJianping Wang
Jianping Wang
ZHZhuoyao He
Zhuoyao He
WZWenbin Zhao
Wenbin Zhao
XLXingcai Lu
Xingcai Lu
The objective of the investigation is to explore the spray evaporation and dispersion characteristics of impinged biodiesel-butanol blends at various n-butanol ratios (0, 10%, 30%, 50%) and ambient conditions. A total of 180 experimental cases were performed in a constant-volume combustion chamber. The liquid- and vapor-phase sprays were captured by backlight imaging technique and Schlieren imaging technique, respectively. Several macroscopic parameters were measured and discussed, including impinged spray structure, width, height, and area. Some novel parameters are derived to analyze spray evaporation and dispersion. Results show that biodiesel blended with 30% n-butanol transits better from liquid-phase to vapor-phase compared with other blends, displaying rapid liquid-phase evaporation an steady vapor-phase dispersion. After wall impingement, an increase in the ambient pressure or temperature hinders the liquid-phase dispersion in the vertical direction significantly, leading to a rapid decrease in the height of the impinged spray. The vapor-phase diffusion rate in the horizontal direction is about four times the rate in the vertical direction, and the rate ratio is slightly affected by ambient conditions and injection pressure. Compared with the free jet, the impinged spray is not beneficial for liquid-phase evaporation and vapor-phase dispersion, presenting larger liquid-phase area and smaller vapor-phase area. However, impinged biodiesel blended with 30% n-butanol displays better spray evaporation and dispersion.

8 April 2020 in Journal of Energy Resources Technology
Verified
Journal Article
Closed access
PDF file
ZLZilong Li
Zilong Li
GHGuan Huang
Guan Huang
CJChenxu Jiang
Chenxu Jiang
YQYong Qian
Yong Qian
ZHZhuoyao He
Zhuoyao He
XLXingcai Lu
Xingcai Lu