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Xing Zhou

National University of Defense Technology

Changsha Hunan, 410073

China

SCHOLARLY PAPERS

4

DOWNLOADS

86

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Internal Temperature Sensing for Lithium-Ion Battery Under Ultrahigh-Rate Discharge Conditions Using Physics-Informed Neural Network

Number of pages: 80 Posted: 09 Jul 2025
National University of Defense Technology, National University of Defense Technology, National University of Defense Technology, National University of Defense Technology, National University of Defense Technology and National University of Defense Technology - College of Systems Engineering
Downloads 46 (1,183,237)

Abstract:

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Internal temperature sensing, Cylindrical lithium-ion battery, Self-adaptive multi-magnitude physics-informed neural network, Ultrahigh-rate discharge

2.

Intelligent Multi-Fault Diagnosis for Parallel Battery Packs Based on Key Feature Extraction from Circulating Current Mechanism

Number of pages: 18 Posted: 15 Mar 2026
National University of Defense Technology, National University of Defense Technology, National University of Defense Technology, National University of Defense Technology and National University of Defense Technology - College of Systems Engineering
Downloads 17 (1,491,251)

Abstract:

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Parallel battery pack, Multi-fault diagnosis, Circulating current, Feature extraction, Intelligent diagnosis

3.

State-of-health estimation of lithium-ion batteries using end-of-charge features with cross-domain validation

Number of pages: 31 Posted: 26 Mar 2026
National University of Defense Technology, National University of Defense Technology, affiliation not provided to SSRN, National University of Defense Technology and National University of Defense Technology - College of Systems Engineering
Downloads 14 (1,526,714)

Abstract:

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lithium-ion battery, End-of-charge features, State-of-health estimation, Transfer learning, Interpretable machine learning

4.

High-Precision Mapping of Non-Uniform SOC Distribution inside Lithium-Ion Batteries via Multi-Dimensional Ultrasound Features and Physics-Informed Deep Learning

Number of pages: 43 Posted: 20 May 2026
National University of Defense Technology, National University of Defense Technology, affiliation not provided to SSRN, National University of Defense Technology, National University of Defense Technology - College of Systems Engineering and National University of Defense Technology
Downloads 9 (1,555,090)

Abstract:

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Non-uniform SOC distribution, Ultrasonic detection, Multi-channel neural network, Physics-Informed Deep Learning