Shuangfeng Wang

Prof. Shuangfeng Wang


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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1 October 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
WWWeixiong Wu
Weixiong Wu
JLJizhen Liu
Jizhen Liu
MLMin Liu
Min Liu
Zhonghao RaoZhonghao Rao
Zhonghao Rao
HDHui Deng
Hui Deng
Shuangfeng WangShuangfeng Wang
Shuangfeng Wang

1 February 2020 in Journal of Power Sources
Verified
Journal Article
Closed access
XQXianghui Qiu
Xianghui Qiu
WWWeixiong Wu
Weixiong Wu
Shuangfeng WangShuangfeng Wang
Shuangfeng Wang

18 October 2018 in International Journal of Energy Research
Verified
Journal Article
Closed access
PDF file
WWWeixiong Wu
Weixiong Wu
WWWei Wu
Wei Wu
XQXianghui Qiu
Xianghui Qiu
Shuangfeng WangShuangfeng Wang
Shuangfeng Wang

1 January 2020 in Energy
Verified
Journal Article
Closed access
TZTing Zou
Ting Zou
WFWanwan Fu
Wanwan Fu
XLXianghui Liang
Xianghui Liang
Shuangfeng WangShuangfeng Wang
Shuangfeng Wang
XGXuenong Gao
Xuenong Gao
YFYutang Fang
Yutang Fang

23 October 2017 in Energies
Verified
Journal Article
Open access
PDF file
KCKai Chen
Kai Chen
ZLZeyu Li
Zeyu Li
YCYiming Chen
Yiming Chen
SLShuming Long
Shuming Long
JHJunsheng Hou
Junsheng Hou
Shuangfeng WangShuangfeng Wang
Shuangfeng Wang
In electric vehicles, the battery pack is one of the most important components that strongly influence the system performance. The battery thermal management system (BTMS) is critical to remove the heat generated by the battery pack, which guarantees the appropriate working temperature for the battery pack. Air cooling is one of the most commonly-used solutions among various battery thermal management technologies. In this paper, the cooling performance of the parallel air-cooled BTMS is improved through choosing appropriate system parameters. The flow field and the temperature field of the system are calculated using the computational fluid dynamics method. Typical numerical cases are introduced to study the influences of the operation parameters and the structure parameters on the performance of the BTMS. The operation parameters include the discharge rate of the battery pack, the inlet air temperature and the inlet airflow rate. The structure parameters include the cell spacing and the angles of the divergence plenum and the convergence plenum. The results show that the temperature rise and the temperature difference of the batter pack are not affected by the inlet air flow temperature and are increased as the discharge rate increases. Increasing the inlet airflow rate can reduce the maximum temperature, but meanwhile significantly increase the power consumption for driving the airflow. Adopting smaller cell spacing can reduce the temperature and the temperature difference of the battery pack, but it consumes much more power. Designing the angles of the divergence plenum and the convergence plenum is an effective way to improve the performance of the BTMS without occupying more system volume. An optimization strategy is used to obtain the optimal values of the plenum angles. For the numerical cases with fixed power consumption, the maximum temperature and the maximum temperature difference at the end of the five-current discharge process for the optimized BTMS are respectively reduced by 2.1 K and 4.3 K, compared to the original system.

10 February 2020 in International Journal of Energy Research
Verified
Journal Article
Closed access
PDF file
KCKai Chen
Kai Chen
YCYiming Chen
Yiming Chen
MSMengxuan Song
Mengxuan Song
Shuangfeng WangShuangfeng Wang
Shuangfeng Wang