Search

Author/Creator Su, Yuzhuan

1. A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries. (15th January 2021)

Authors:
Ma, Jian; Shang, Pengchao; Zou, Xinyu; Ma, Ning; Ding, Yu; Sun, Jinwen; Cheng, Yujie; Tao, Laifa; Lu, Chen; Su, Yuzhuan; Chong, Jin; Jin, Haizu; Lin, Yongshou
Journal:
Applied energy
Issue:
Volume 282(2021)Part A
Page Start:
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

7. Remaining Useful Life Transfer Prediction and Cycle Life Test Optimization for Different Formula Li-ion Power Batteries Using a Robust Deep Learning Method⁎This study was supported by the National Natural Science Foundation of China (Grant Nos. 61973011 and 51605014), the Fundamental Research Funds for the Central Universities (Grant No. YWF-20-BJ-J-517), the Fundamental Research Funds for the Central Universities (Grant No. ZG140S1993), National Key Laboratory of Science and Technology on Reliability and Environmental Engineering (Grant No. 6142004180501), RD projects in key areas of Guangdong Province (Grant No.2018B010108005), as well as the Capital Science Technology Leading Talent Program (Grant No. Z191100006119029). Issue 3 (2020)

Authors:
Ma, Jian; Shang, Pengchao; Zou, Xinyu; Ma, Ning; Ding, Yu; Su, Yuzhuan; Chong, Jin; Jin, Haizu; Lin, Yongshou
Journal:
IFAC-PapersOnLine
Issue:
Volume 53:Issue 3(2020)
Page Start:
54
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗