Yu Zhou

Prof. Yu Zhou

School staff
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 January 2021 in Journal of Manufacturing Systems
Verified
Journal Article
Closed access
YZYu Zhou
Yu Zhou
TXTong Xing
Tong Xing
YSYue Song
Yue Song
YLYajing Li
Yajing Li
XZXuefeng Zhu
Xuefeng Zhu
SDShuiting Ding
Shuiting Ding

1 June 2024 in Propulsion and Power Research
Verified
Journal Article
Open access
YZYu Zhou
Yu Zhou
YSYue Song
Yue Song
SZShuai Zhao
Shuai Zhao
XLXueyu Li
Xueyu Li
LSLongtao Shao
Longtao Shao
SDShuiting Ding
Shuiting Ding

1 January 2019 in Energy Conversion and Management
Verified
Journal Article
Closed access
FJFenzhu Ji
Fenzhu Ji
YBYangping Bao
Yangping Bao
YZYu Zhou
Yu Zhou
FDFarong Du
Farong Du
HZHongji Zhu
Hongji Zhu
SDShuiting Ding
Shuiting Ding

16 January 2019 in Engineering Optimization
Verified
Journal Article
Closed access
XZXuefeng Zhu
Xuefeng Zhu
CZChao Zhao
Chao Zhao
XWXuan Wang
Xuan Wang
YZYu Zhou
Yu Zhou
PHPing Hu
Ping Hu
ZMZheng-Dong Ma
Zheng-Dong Ma
Temperature-constrained topology optimization for thermo-mechanical coupled problems under a design-dependent temperature field considering the thermal expansion effect remains an open problem. A temperature-constrained topology optimization method is proposed for thermo-mechanical coupled problems. In this article, the temperature values at the heat sources are constrained. The numerical results reveal that the temperature constraints play an important role in topology optimization of thermo-mechanical coupled problems. The optimized structure obtained by the presented method not only has certain strength but also decreases the temperature significantly compared with structures obtained by other methods without considering temperature constraints. The proposed method is applied to the design of the cooling system of a battery package. Numerical examples verify the efficiency of the presented method.

2 January 2019 in Vehicle System Dynamics
Verified
Journal Article
Closed access
FJFenzhu Ji
Fenzhu Ji
YPYong Pan
Yong Pan
YZYu Zhou
Yu Zhou
FDFarong Du
Farong Du
QZQi Zhang
Qi Zhang
GLGuo Li
Guo Li
Energy recovery is a key technology to improve energy efficiency and extend driving range of electric vehicle. It is still a challenging issue to maximise energy recovery. We present an energy recovery mode (mode A) which recovers braking energy under all situations that accelerator pedal (AP) is lifted, brake pedal (BP) is depressed, as well as AP and BP are released completely; and propose a control strategy of regenerative braking based on driver's intention identified by a fuzzy recognition method. Other two modes: (1) recovery braking energy only the BP is depressed (mode B), (2) no energy recovery, have been studied to compare with mode A. Simulations are carried out on different adhesion conditions. Recovered energy and driving range are also obtained under FTP75 driving cycle. Road test is implemented to validate simulation results. Results show that mode A can improve energy recovery by almost 15.8% compared with mode B, and extend driving range by almost 8.81% compared with mode B and 20.39% with the mode of no energy recovery; the control strategy of regenerative braking can balance energy recovery and braking stability. The proposed energy recovery mode provides a possibility to achieve a single-pedal design of the electric vehicle.

22 May 2024 in Energy
Verified
Journal Article
Closed access
YSYue Song
Yue Song
YZYu Zhou
Yu Zhou
SZShuai Zhao
Shuai Zhao
FDFa-Rong Du
Fa-Rong Du
XLXue-Yu Li
Xue-Yu Li
SDShui-Ting Ding
Shui-Ting Ding