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Xinfan Lin
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2020 – today
- 2026
[i13]Simon Kuang, Xinfan Lin:
Exact closed-form Gaussian moments of residual layers. CoRR abs/2601.22307 (2026)- 2025
[c23]Jackson Fogelquist, Xinfan Lin:
Joint Parameterization of Hybrid Physics-Based and Machine Learning Li-Ion Battery Model. ACC 2025: 1462-1468
[c22]Xuchang Tang, Simon Kuang, Xinfan Lin, Shuang Feng, Ricardo de Castro, Qijian Gan, Scott J. Moura:
Optimization of Electric Vehicle Evacuation Integrating Mobile Charging Stations and Considering Vehicle Diversity. ACC 2025: 3028-3034
[c21]Rui Huang, Jackson Fogelquist, Xinfan Lin:
Robust Estimation of Battery State of Health Using Reference Voltage Trajectory. ACC 2025: 4065-4070
[c20]Simon Kuang, Xinfan Lin:
A New Type of Nonlinear Disturbance Rejection. ACC 2025: 4479-4484
[i12]Ayush Patnaik, Nicolas Michel, Xinfan Lin:
Enhancing Multirotor Drone Efficiency: Exploring Minimum Energy Consumption Rate of Forward Flight under Varying Payload. CoRR abs/2501.03102 (2025)
[i11]Simon Kuang, Xinfan Lin:
Debiasing Continuous-time Nonlinear Autoregressions. CoRR abs/2504.05525 (2025)
[i10]Rui Huang, Jackson Fogelquist, Xinfan Lin:
Robust Estimation of Battery State of Health Using Reference Voltage Trajectory. CoRR abs/2504.13324 (2025)
[i9]Jackson Fogelquist, Xinfan Lin:
Joint Parameterization of Hybrid Physics-Based and Machine Learning Li-Ion Battery Model. CoRR abs/2505.06473 (2025)
[i8]Ayush Patnaik, Adam B. Zufall, Stephen K. Robinson, Xinfan Lin:
Machine Learning Detection of Lithium Plating in Lithium-ion Cells: A Gaussian Process Approach. CoRR abs/2509.26234 (2025)
[i7]Simon Kuang, Xinfan Lin:
Assumed Density Filtering and Smoothing with Neural Network Surrogate Models. CoRR abs/2511.09016 (2025)- 2024
[c19]Jackson Fogelquist, Xinfan Lin:
Lightweight Electrochemical Hybrid Modeling Approach for Li-Ion Batteries Using Gaussian Process Regression. ACC 2024: 1435-1440
[c18]Hao Tu, Xinfan Lin, Yebin Wang, Huazhen Fang:
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization. ACC 2024: 1946-1951
[c17]Nicolas Michel, Ayush Patnaik, Zhaodan Kong, Xinfan Lin:
Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy? IROS 2024: 10362-10369
[c16]Xuchang Tang, Xinfan Lin, Shuang Feng, Samuel Markolf, Ricardo de Castro, Qijian Gan, Scott J. Moura:
Enhancing Large-Scale Evacuations of Electric Vehicles Through Integration of Mobile Charging Stations. ITSC 2024: 1494-1501
[i6]Hao Tu, Xinfan Lin, Yebin Wang, Huazhen Fang:
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization. CoRR abs/2405.20219 (2024)
[i5]Simon Kuang, Xinfan Lin:
Nonlinear High-Pass Filters. CoRR abs/2410.05490 (2024)
[i4]Simon Kuang, Xinfan Lin:
Structural Constraints for Physics-augmented Learning. CoRR abs/2410.05507 (2024)
[i3]Nicolas Michel, Ayush Patnaik, Zhaodan Kong, Xinfan Lin:
Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy? CoRR abs/2410.17585 (2024)- 2023
[j9]Rui Huang
, Jackson Fogelquist
, Xinfan Lin
:
Reinforcement Learning of Optimal Input Excitation for Parameter Estimation With Application to Li-Ion Battery. IEEE Trans. Ind. Informatics 19(11): 11160-11170 (2023)
[c15]Rui Huang, Morgan Jones
, Xinfan Lin:
Excitation Optimization for Estimating Battery Health Parameters using Reinforcement Learning considering Information Content and Bias. ACC 2023: 3093-3098
[c14]Jackson Fogelquist, Qingzhi Lai, Xinfan Lin:
Error Analysis for Parameter Estimation of Li-ion Battery subject to System Uncertainties. ACC 2023: 3099-3105
[i2]Simon Kuang, Xinfan Lin:
Finite-sample Identification of Continuous-time Parameter-linear Systems. CoRR abs/2312.05382 (2023)- 2022
[j8]Peng Wei
, Xinfan Lin, Zhaodan Kong
:
System identification of wind effects on multirotor aircraft. Int. J. Intell. Robotics Appl. 6(1): 104-118 (2022)
[c13]Qingzhi Lai, Jackson Blake Fogelquist, Xinfan Lin:
System Identification of Battery Single Particle Model Parameters Using New Data Optimization Approach. ACC 2022: 376-383
[c12]Jackson Fogelquist, Xinfan Lin:
Uncertainty-Aware Data Selection Framework for Parameter Estimation with Application to Li-ion Battery. ACC 2022: 384-391
[c11]Nicolas Michel, Zhaodan Kong, Xinfan Lin:
Energy-Efficient UAV Trajectory Generation Based on System-Level Modeling of Multi-Physical Dynamics. ACC 2022: 4119-4126
[i1]Kaian Chen, Kaixiang Zhang, Xinfan Lin, Yusheng Zheng, Xunyun Yin, Xiaosong Hu, Ziyou Song, Zhaojian Li:
Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling. CoRR abs/2209.12862 (2022)- 2021
[j7]Gang Chen
, Xinfan Lin
, Zhaodan Kong
:
Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis. IEEE Control. Syst. Lett. 5(3): 1049-1054 (2021)
[c10]Qingzhi Lai, Won Tae Joe, Geumbee Kim, Xinfan Lin:
Data Optimization for Parameter Estimation under System Uncertainties with Application to Li-ion Battery. ACC 2021: 4408-4413- 2020
[j6]Xinfan Lin
, Hector Eduardo Perez
, Jason B. Siegel
, Anna G. Stefanopoulou
:
Robust Estimation of Battery System Temperature Distribution Under Sparse Sensing and Uncertainty. IEEE Trans. Control. Syst. Technol. 28(3): 753-765 (2020)
[c9]Qingzhi Lai, Hyoung Jun Ahn
, Geumbee Kim, Won Tae Joe, Xinfan Lin:
Optimization of Current Excitation for Identification of Battery Electrochemical Parameters based on Analytic Sensitivity Expression. ACC 2020: 346-351
2010 – 2019
- 2019
[j5]Xinfan Lin, Youngki Kim, Shankar Mohan, Jason B. Siegel
, Anna G. Stefanopoulou
:
Modeling and Estimation for Advanced Battery Management. Annu. Rev. Control. Robotics Auton. Syst. 2: 393-426 (2019)
[c8]Qingzhi Lai, Sidharth Jangra, Hyoung Jun Ahn
, Geumbee Kim, Won Tae Joe, Xinfan Lin:
Analytical Sensitivity Analysis for Battery Electrochemical Parameters. ACC 2019: 890-896- 2018
[j4]Xinfan Lin
:
Theoretical Analysis of Battery SOC Estimation Errors Under Sensor Bias and Variance. IEEE Trans. Ind. Electron. 65(9): 7138-7148 (2018)
[c7]Xinfan Lin:
A Data Selection Strategy for Real-time Estimation of Battery Parameters. ACC 2018: 2276-2281- 2017
[j3]Xinfan Lin
:
Analytic Analysis of the Data-Dependent Estimation Accuracy of Battery Equivalent Circuit Dynamics. IEEE Control. Syst. Lett. 1(2): 304-309 (2017)- 2016
[c6]Xinfan Lin:
On the analytic accuracy of battery SOC, capacity and resistance estimation. ACC 2016: 4006-4011- 2015
[j2]Xinfan Lin, Anna G. Stefanopoulou
, Yonghua Li, R. Dyche Anderson:
State of Charge Imbalance Estimation for Battery Strings Under Reduced Voltage Sensing. IEEE Trans. Control. Syst. Technol. 23(3): 1052-1062 (2015)
[c5]Xinfan Lin, Tae-Kyung Lee:
Space-resolved reduced order modeling of prismatic battery thermal dynamics. ACC 2015: 294-298- 2013
[j1]Xinfan Lin, Hector Eduardo Perez, Jason B. Siegel
, Anna G. Stefanopoulou
, Yonghua Li, R. Dyche Anderson, Yi Ding, Matthew P. Castanier
:
Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring. IEEE Trans. Control. Syst. Technol. 21(5): 1745-1755 (2013)
[c4]Xinfan Lin, Anna G. Stefanopoulou, Yonghua Li, R. Dyche Anderson:
State of charge estimation of cells in series connection by using only the total voltage measurement. ACC 2013: 704-709- 2012
[c3]Xinfan Lin, Anna G. Stefanopoulou, Hector Eduardo Perez, Jason B. Siegel
, Yonghua Li, R. Dyche Anderson:
Quadruple adaptive observer of the core temperature in cylindrical Li-ion batteries and their health monitoring. ACC 2012: 578-583
[c2]Jason B. Siegel
, Xinfan Lin, Anna G. Stefanopoulou
:
On the accuracy and simplifications of battery models using in situ measurements of Lithium concentration in operational cells. ACC 2012: 1362-1367- 2011
[c1]Jason B. Siegel
, Xinfan Lin, Anna G. Stefanopoulou
, David J. Gorsich:
Neutron imaging of lithium concentration in battery pouch cells. ACC 2011: 376-381
Coauthor Index

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last updated on 2026-02-27 23:51 CET by the dblp team
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