江奔奔｜清华大学｜学者主页

2026

BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis

Songqi Zhou, Ruixue Liu, Boman Su, Jiazhou Wang, Yixing Wang, Benben Jiang

Chinese Control and Decision Conference (CCDC)

DOI

2026

Accelerating Battery Charging via Bayesian Optimization with Risk-Seeking Sampling

Yi Zhang, Xizhe Wang, Benben Jiang

American Control Conference

2026

Deep active learning and knowledge transfer for rapid discovery of lithium metal battery electrolytes

Xu-Feng Hong, Xizhe Wang, Stephen J. Harris, Hongbo Zhao, Jiashen Meng, Qing-Shan Jia, Qian-Chuan Zhao, Kang Xu, Quan-Quan Pang, Benben Jiang

Nature Communications

DOI

2026

Uncertainty-Aware Active Domain Randomization for Transferable Fast-Charging Design of Lithium-Ion Batteries

Xizhe Wang, Xiaobin Song, Boman Su, Benben Jiang

IEEE Transactions on Transportation Electrification

DOI

2025

A multi-time-resolution attention-based interaction network for co-estimation of multiple battery states

Ruixue Liu, Benben Jiang

Applied Energy

DOI

2025

Parallel Bayesian optimization using satisficing Thompson sampling for fast charging design of lithium-ion batteries

Xiaobin Song, Benben Jiang

Engineering applications of artificial intelligence

DOI

2025

Attention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations

Xizhe Wang, Benben Jiang

IEEE Transactions on Industrial Informatics

DOI

2025

Hierarchical Physics-Embedded Learning for Spatiotemporal Dynamical Systems

Xizhe Wang, Xiaobin Song, Qing-Shan Jia, Hongbo Zhao, Benben Jiang

arXiv.org

DOI

2025

Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries

Xiaobin Song, Si-Yu Bai, Da-Wei Wang, Hanxiao Tao, Xizhe Wang, Rebing Wu, Benben Jiang

Cybernetics and Intelligence

DOI

2024

A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles

Ruixue Liu, Guan-Nan He, Xizhe Wang, D. Mallapragada, Hongbo Zhao, Shao-Wu Yang, Benben Jiang

Nature Communications

DOI

2024

Deep Reinforcement Learning-Based Symbolic Regression for PDE Discovery Using Spatio-Temporal Rewards

Xizhe Wang, Hongbo Zhao, Qian-Chuan Zhao, Benben Jiang

2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)

DOI

2024

Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries

Yuhan Hao, Qiu-Gang Lu, Xizhe Wang, Benben Jiang

IEEE Transactions on Industrial Informatics

DOI

2023

Multi-objective optimization for fast charging design of lithium-ion batteries using constrained Bayesian optimization

Xizhe Wang, Benben Jiang

Journal of Power Sources

DOI

2023

Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel

Hong-Bo Zhao, Haitao D Deng, Alexander E. Cohen, Jongwoo Lim, Yi-Yang Li, Dimitrios Fraggedakis, Benben Jiang, Brian D. Storey, W. Chueh, R. D. Braatz, M. Bazant

Nature

DOI

2023

Realistic fault detection of li-ion battery via dynamical deep learning

J. Zhang, Ya-Nan Wang, Benben Jiang, Hao-Wei He, Shaobo Huang, Chen Wang, Yang Zhang, Xue-Bing Han, Dong-Xu Guo, Guan-Nan He, Ming-Gao Ouyang

Nature Communications

DOI

2023

Deep Kernel Learning-Based Bayesian Optimization with Adaptive Kernel Functions

Xizhe Wang, Xu-Feng Hong, Quan-Quan Pang, Benben Jiang

IFAC-PapersOnLine

DOI

2023

Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization With Recurrent Neural Network

Benben Jiang, Yixing Wang, Zheng-Hua Ma, Qiu-Gang Lu

IEEE Transactions on Automation Science and Engineering

DOI

2022

Predicting the lifetime of Lithium–Ion batteries: Integrated feature extraction and modeling through sequential Unsupervised-Supervised Projections (USP)

Marco S. Reis, Benben Jiang

Chemical Engineering Science

DOI

2022

Novel Operating Modes for the Charging of Lithium-ion Batteries

Marc D. Berliner, Benben Jiang, Daniel A. Cogswell, Martin Z. Bazant, Richard D. Braatz

Journal of The Electrochemical Society

DOI

2022

Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation

Marc D. Berliner, Benben Jiang, Daniel A. Cogswell, Martin Z. Bazant, Richard D. Braatz

Proceedings of the ... American Control Conference/Proceedings of the American Control Conference

DOI

2022

Fast charging design for Lithium-ion batteries via Bayesian optimization

Benben Jiang, M. Berliner, Kun Lai, Patrick A. Asinger, Hong-Bo Zhao, P. Herring, M. Bazant, R. Braatz

Applied Energy

DOI

2022

Editorial: Recent advances of AI and machine learning methods in integrated R&D, manufacturing, and supply chain

L. Chiang, M. Reis, B. Shuang, Benben Jiang, Stéphanie Valleau

Frontiers in Chemical Engineering

DOI

2022

Constrained Bayesian Optimization for Minimum-Time Charging of Lithium-Ion Batteries

Benben Jiang, Xizhe Wang

IEEE Control Systems Letters

DOI

2022

Fault Detection in Industrial Systems Using Maximized Divergence Analysis Approach

Benben Jiang, Qiu-Gang Lu

IEEE Access

DOI

2022

State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression

Kesen Fan, Yiming Wan, Benben Jiang

Journal of Process Control

DOI

2022

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

Gui-Jun Ma, Songpei Xu, Benben Jiang, Cheng Cheng, Xin Yang, Yue Shen, Tao Yang, Yunhui Huang, Han Ding, Ye Yuan

Energy & Environmental Science

DOI

2022

EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation

Hao-Wei He, J. Zhang, Ya-Nan Wang, Benben Jiang, Shao-Bo Huang, Chen Wang, Yang Zhang, Gen-Gang Xiong, X. Han, Dong-Xu Guo, Guannan He, M. Ouyang

2021

Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback–Leibler Divergence

Qiu-Gang Lu, Benben Jiang, E. Harinath

IEEE Transactions on Control Systems Technology

DOI

2021

Nonlinear Identifiability Analysis of the Porous Electrode Theory Model of Lithium-Ion Batteries

M. Berliner, Hong-Bo Zhao, Supratim Das, Michael Forsuelo, Benben Jiang, William Chueh, M. Bazant, R. Braatz

Journal of the Electrochemical Society

DOI

2021

Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols

Benben Jiang, William E. Gent, F. Mohr, Supratim Das, M. Berliner, Michael Forsuelo, Hong-Bo Zhao, Peter M. Attia, Aditya Grover, Patrick K. Herring, M. Bazant, Stephen J. Harris, Stefano Ermon, W. Chueh, R. Braatz

Joule

DOI

2019

Perspective on Automation of Statistical Modeling Process for Battery Lifetime Prediction

Benben Jiang

Cybersecurity and Cyberforensics Conference

DOI

2019

Data-driven prediction of battery cycle life before capacity degradation

K. Severson, Peter M. Attia, Norman Jin, Nicholas Perkins, Benben Jiang, Zi Yang, Michael H. Chen, M. Aykol, Patrick K. Herring, Dimitrios Fraggedakis, M. Bazant, Stephen J. Harris, W. Chueh, R. Braatz

Nature Energy

DOI

2019

Maximized Mutual Information Analysis Based on Stochastic Representation for Process Monitoring

Benben Jiang, Yi Luo, Qiu-Gang Lu

IEEE Transactions on Industrial Informatics

DOI

2019

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis

Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang

IEEE Transactions on Control Systems Technology

DOI

2018

Locality preserving discriminative canonical variate analysis for fault diagnosis

Qiu-Gang Lu, Benben Jiang, R. B. Gopaluni, Philip D. Loewen, R. Braatz

Computers and Chemical Engineering

DOI

2018

An Information-Theoretic Framework for Fault Detection Evaluation and Design of Optimal Dimensionality Reduction Methods

Benben Jiang, Wei-Ke Sun, R. Braatz

DOI

2018

Sparse canonical variate analysis approach for process monitoring

Qiu-Gang Lu, Benben Jiang, R. B. Gopaluni, Philip D. Loewen, R. Braatz

Journal of Process Control

DOI

2018

Matrix factorization based instrumental variable approach for simultaneous identification of Bi-directional path models.

Benben Jiang, Yi Luo

ISA transactions

DOI

2018

Latent variable modeling approach for fault detection and identification of process correlations

Benben Jiang, Xiaoxiang Zhu

Transactions of the Institute of Measurement and Control

DOI

2017

Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis

Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang

Conference on Control Technology and Applications

DOI

2017

Fault detection of process correlation structure using canonical variate analysis-based correlation features

Benben Jiang, R. Braatz

DOI

2016

Simultaneous structure and parameter identification of multivariate systems by matrix decomposition

Benben Jiang, Fan Yang, Dexian Huang

DOI

2016

A Generalized Instrumental Variable Method Based on Matrix Decomposition for Simultaneous Identification of Bi-directional Paths in Closed-loop Systems

Benben Jiang, Qunxiong Zhu, Xiaoxiang Zhu, Zhi-Qiang Geng

DOI

2013

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Benben Jiang, Fan Yang, Dexian Huang, Wei Wang

精选作品

期刊论文

BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis

Accelerating Battery Charging via Bayesian Optimization with Risk-Seeking Sampling

Deep active learning and knowledge transfer for rapid discovery of lithium metal battery electrolytes

Uncertainty-Aware Active Domain Randomization for Transferable Fast-Charging Design of Lithium-Ion Batteries

A multi-time-resolution attention-based interaction network for co-estimation of multiple battery states

Parallel Bayesian optimization using satisficing Thompson sampling for fast charging design of lithium-ion batteries

Attention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations

Hierarchical Physics-Embedded Learning for Spatiotemporal Dynamical Systems

Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries

A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles

Deep Reinforcement Learning-Based Symbolic Regression for PDE Discovery Using Spatio-Temporal Rewards

Adaptive Model-Based Reinforcement Learning for Fast-Charging Optimization of Lithium-Ion Batteries

Multi-objective optimization for fast charging design of lithium-ion batteries using constrained Bayesian optimization

Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel

Realistic fault detection of li-ion battery via dynamical deep learning

Deep Kernel Learning-Based Bayesian Optimization with Adaptive Kernel Functions

Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization With Recurrent Neural Network

Predicting the lifetime of Lithium–Ion batteries: Integrated feature extraction and modeling through sequential Unsupervised-Supervised Projections (USP)

Novel Operating Modes for the Charging of Lithium-ion Batteries

Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation

Fast charging design for Lithium-ion batteries via Bayesian optimization

Editorial: Recent advances of AI and machine learning methods in integrated R&D, manufacturing, and supply chain

Constrained Bayesian Optimization for Minimum-Time Charging of Lithium-Ion Batteries

Fault Detection in Industrial Systems Using Maximized Divergence Analysis Approach

State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression

Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning

EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation

Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback–Leibler Divergence

Nonlinear Identifiability Analysis of the Porous Electrode Theory Model of Lithium-Ion Batteries

Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols

Perspective on Automation of Statistical Modeling Process for Battery Lifetime Prediction

Data-driven prediction of battery cycle life before capacity degradation

Maximized Mutual Information Analysis Based on Stochastic Representation for Process Monitoring

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis

Locality preserving discriminative canonical variate analysis for fault diagnosis

An Information-Theoretic Framework for Fault Detection Evaluation and Design of Optimal Dimensionality Reduction Methods

Sparse canonical variate analysis approach for process monitoring

Matrix factorization based instrumental variable approach for simultaneous identification of Bi-directional path models.

Latent variable modeling approach for fault detection and identification of process correlations

Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis

Fault detection of process correlation structure using canonical variate analysis-based correlation features

Simultaneous structure and parameter identification of multivariate systems by matrix decomposition

A Generalized Instrumental Variable Method Based on Matrix Decomposition for Simultaneous Identification of Bi-directional Paths in Closed-loop Systems

((WHQGHG-$8',PHWKRGIRUVLPXOWDQHRXVGHWHUPLQDWLRQRIFDXVDOLW\ DQGPRGHOVIURPSURFHVVGDWD

会议论文

Adaptive Satisficing Thompson-Sampling Based Bayesian Optimization for Fast Charging Design of Lithium-ion Batteries

数据集

Data for "Physics-Based Power–Energy Feasible Domains for Lithium Ion Battery Management across Aging States"

研究方向