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Ganglin Cao

Shaanxi University of Technology

China

SCHOLARLY PAPERS

4

DOWNLOADS

70

TOTAL CITATIONS

0

Scholarly Papers (4)

Hierarchically identifying 31 electrochemical model parameters only via battery single dynamic current profiles

Number of pages: 36 Posted: 03 Apr 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Shaanxi University of Technology, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 14 (1,579,999)

Abstract:

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Lithium-ion battery, Parameter non-destructive identification, Hierarchical framework, Single dynamic profiles, 31 physical parameters

2.

SYSTEM OPERATING STRATEGY FOR COORDINATED TEMPERATURE AND HUMIDITY CONTROL AIR CONDITIONING

Number of pages: 41 Posted: 06 Oct 2025
Shaanxi University of Technology, Shaanxi University of Technology, Shaanxi University of Technology, Shaanxi University of Technology, Shaanxi University of Technology, Shaanxi University of Technology, affiliation not provided to SSRN, Shaanxi University of Technology and Shaanxi University of Technology
Downloads 24 (1,411,822)

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temperature and humidity coordinated, coordinated control strategy, dynamic simulation, energy consumption reduction

3.

Open-circuit-voltage-derived features enable accurate state-of-charge estimation for LiFePO4 battery across -10 °C to 50 °C

Number of pages: 37 Posted: 20 Jun 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Shaanxi University of Technology, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 19

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LiFePO4 battery, State-of-charge estimation, Feature excavation, Base-error joint modeling, Wide-temperature range

4.

Constraint-embedded and frequency-aware physics-informed neural network for battery electrochemical parameters identification

Number of pages: 36 Posted: 01 Jul 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Shaanxi University of Technology, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 13

Abstract:

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Lithium‑ion battery, Parameter non-destructive identification, Physics‑informed neural network, Physical constraint, Multiple loss