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Benben Jiang
Benben Jiang
Associate Professor, Tsinghua University
Verifisert e-postadresse på tsinghua.edu.cn - Startside
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Data-driven prediction of battery cycle life before capacity degradation
KA Severson, PM Attia, N Jin, N Perkins, B Jiang, Z Yang, MH Chen, ...
Nature Energy 4 (5), 383-391, 2019
21482019
Canonical variate analysis-based contributions for fault identification
B Jiang, D Huang, X Zhu, F Yang, RD Braatz
Journal of Process Control 26, 17-25, 2015
1282015
A combined canonical variate analysis and Fisher discriminant analysis (CVA–FDA) approach for fault diagnosis
B Jiang, X Zhu, D Huang, JA Paulson, RD Braatz
Computers & Chemical Engineering 77, 1-9, 2015
1142015
Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
G Ma, S Xu, B Jiang, C Cheng, X Yang, Y Shen, T Yang, Y Huang, H Ding, ...
Energy & Environmental Science 15 (10), 4083-4094, 2022
1132022
Diagnosis of multiple and unknown faults using the causal map and multivariate statistics
LH Chiang, B Jiang, X Zhu, D Huang, RD Braatz
Journal of Process Control 28, 27-39, 2015
1062015
Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols
B Jiang, WE Gent, F Mohr, S Das, MD Berliner, M Forsuelo, H Zhao, ...
Joule 5 (12), 3187-3203, 2021
862021
Fast charging design for Lithium-ion batteries via Bayesian optimization
B Jiang, MD Berliner, K Lai, PA Asinger, H Zhao, PK Herring, MZ Bazant, ...
Applied Energy 307, 118244, 2022
722022
Realistic fault detection of li-ion battery via dynamical deep learning
J Zhang, Y Wang, B Jiang, H He, S Huang, C Wang, Y Zhang, X Han, ...
Nature Communications 14 (1), 5940, 2023
542023
Fault detection of process correlation structure using canonical variate analysis-based correlation features
B Jiang, RD Braatz
Journal of Process Control 58, 131-138, 2017
542017
Canonical variate analysis-based monitoring of process correlation structure using causal feature representation
B Jiang, X Zhu, D Huang, RD Braatz
Journal of Process Control 32, 109-116, 2015
472015
Sparse canonical variate analysis approach for process monitoring
Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz
Journal of Process Control 71, 90-102, 2018
422018
Nonlinear identifiability analysis of the porous electrode theory model of lithium-ion batteries
MD Berliner, H Zhao, S Das, M Forsuelo, B Jiang, WH Chueh, MZ Bazant, ...
Journal of The Electrochemical Society 168 (9), 090546, 2021
392021
Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel
H Zhao, HD Deng, AE Cohen, J Lim, Y Li, D Fraggedakis, B Jiang, ...
Nature 621 (7978), 289-294, 2023
362023
Locality preserving discriminative canonical variate analysis for fault diagnosis
Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz
Computers & Chemical Engineering 117, 309-319, 2018
332018
Dynamic minimax probability machine-based approach for fault diagnosis using pairwise discriminate analysis
B Jiang, Z Guo, Q Zhu, G Huang
IEEE Transactions on Control Systems Technology 27 (2), 806-813, 2017
272017
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression
K Fan, Y Wan, B Jiang
Journal of Process Control 112, 1-11, 2022
222022
Maximized mutual information analysis based on stochastic representation for process monitoring
B Jiang, Y Luo, Q Lu
IEEE Transactions on Industrial Informatics 15 (3), 1579-1587, 2018
202018
A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles
R Liu, G He, X Wang, D Mallapragada, H Zhao, Y Shao-Horn, B Jiang
Nature communications 15 (1), 280, 2024
182024
Fault diagnosis in industrial processes by maximizing pairwise Kullback–Leibler divergence
Q Lu, B Jiang, E Harinath
IEEE Transactions on Control Systems Technology 29 (2), 780-785, 2019
182019
Adaptive model-based reinforcement learning for fast-charging optimization of lithium-ion batteries
Y Hao, Q Lu, X Wang, B Jiang
IEEE Transactions on Industrial Informatics 20 (1), 127-137, 2023
162023
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Artikler 1–20