Jin Chong

发表

A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model

Chen Lu, Jian Ma, Xinyu Zou, 2022, Neural Computing and Applications.

A modified reliability model for lithium-ion battery packs based on the stochastic capacity degradation and dynamic response impedance

Chen Lu, Yi Ren, Laifa Tao, 2019, Journal of Power Sources.

A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries

Ning Ma, Jian Ma, Yu Ding, 2021 .

Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method

Jian Ma, Chen Lu, Yuzhuan Su, 2020 .

Remaining Useful Life Transfer Prediction and Cycle Life Test Optimization for Different Formula Li-ion Power Batteries Using a Robust Deep Learning Method

Jian Ma, Xinyu Zou, Yuzhuan Su, 2020 .

A review of stochastic battery models and health management

Chen Lu, Jian Ma, Laifa Tao, 2017 .

Lithium-ion battery capacity fading dynamics modelling for formulation optimization: A stochastic approach to accelerate the design process

Chen Lu, Laifa Tao, Yuzhuan Su, 2017 .

Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach

Chen Lu, Jian Ma, Zihan Chen, 2017 .