Bin Ma

发表

Interface modification by Fmoc-Met-OH molecule for high-efficient perovskite solar cells

Xin-Hua Liu, Lisheng Zhang, Susan G. Yan, 2022, Journal of Materials Science: Materials in Electronics.

Application of deep learning for informatics aided design of electrode materials in metal-ion batteries

Xinhua Liu, Huizhi Wang, Lisheng Zhang, 2022, Green Energy & Environment.

Research on the Dynamic Safety Boundary of Fast Charging Based on the Modified P2D Model of Lithium Plating

Zhenhai Gao, Lisheng Zhang, Siyan Chen, 2022, SAE Technical Paper Series.

End-cloud collaboration method enables accurate state of health and remaining useful life online estimation in lithium-ion batteries

Shichun Yang, Xinhua Liu, Lisheng Zhang, 2023, Journal of Energy Chemistry.

Concept of hydrophobic Li+-solvated structure for high performances lithium metal batteries

Yu-long Zhang, Bin Ma, Xinhua Liu, 2023, Rare Metals.

Non-invasive Characteristic Curve Analysis of Lithium-ion Batteries Enabling Degradation Analysis and Data-Driven Model Construction: A Review

Shichun Yang, Rui Cao, Xinhua Liu, 2022, Automotive Innovation.

Toward a function realization of multi-scale modeling for lithium-ion battery based on CHAIN framework

Lisheng Zhang, Han-qing Yu, Siyan Chen, 2022, Rare Metals.

Lithium-Ion Battery State of Health Estimation with Multi-Feature Collaborative Analysis and Deep Learning Method

Xinhua Liu, Siyan Chen, Haicheng Xie, 2023, Batteries.

Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep learning model

Shichun Yang, Xinhua Liu, Huizhi Wang, 2022, iScience.

End-Cloud Collaboration Approach for State-of-Charge Estimation in Lithium Batteries Using CNN-LSTM and UKF

Shichun Yang, Xinhua Liu, Lisheng Zhang, 2023, Batteries.

Electric vehicle lifecycle carbon emission reduction: A review

Xinhua Liu, Zhenhai Gao, Lisheng Zhang, 2023, Carbon Neutralization.

State of health and remaining useful life prediction for lithium-ion batteries based on differential thermal voltammetry and a long and short memory neural network

Lisheng Zhang, Siyan Chen, Hanqing Yu, 2022, Rare Metals.

A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles

W. Hua, Lisheng Zhang, Bin Ma, 2023, Energies.

Review of Abnormality Detection and Fault Diagnosis Methods for Lithium-Ion Batteries

Shichun Yang, Rui Cao, Xinhua Liu, 2023, Automotive Innovation.

Multi-output ensemble deep learning: A framework for simultaneous prediction of multiple electrode material properties

Mengzheng Ouyang, Lisheng Zhang, Hanqing Yu, 2023, Chemical Engineering Journal.