Author

YuTong Li

Ford Motor Company - Cited by 1,657 - Automotive Control

Biography

Dr. YuTong Li is an Associate professor in the department of Automotive Control University of Michigan, Ann Arbor 500 S State St, Ann Arbor, MI 48109, United States . His study interests major on Automotive Control. Currently , Dr. YuTong Li is the author/editors/reviewer in several international journals. He published 5 articles in many journals and the articles are informative and got good citations.
Title
Cited by
Year
Levenberg–Marquardt backpropagation training of multilayer neural networks for state estimation of a safety-critical cyber-physical system
C Lv, Y Xing, J Zhang, X Na, Y Li, T Liu, D Cao, FY WangIEEE Transactions on Industrial Informatics 14 (8), 3436-3446, 2017201
298
2017
Mechanism analysis and evaluation methodology of regenerative braking contribution to energy efficiency improvement of electrified vehicles
C Lv, J Zhang, Y Li, Y YuanEnergy Conversion and Management 92, 469-482, 2015201
228
2015
Driving-style-based codesign optimization of an automated electric vehicle: a cyber-physical system approach
C Lv, X Hu, A Sangiovanni-Vincentelli, Y Li, CM Martinez, D CaoIEEE Transactions on Industrial Electronics 66 (4), 2965-2975, 2018201
223
2018
New regenerative braking control strategy for rear-driven electrified minivans
Z Junzhi, L Yutong, L Chen, Y YeEnergy Conversion and Management 82, 135-145, 2014201
115
2014
Novel control algorithm of braking energy regeneration system for an electric vehicle during safety–critical driving maneuvers
C Lv, J Zhang, Y Li, Y YuanEnergy conversion and management 106, 520-529, 2015201
88
2015
Braking energy regeneration control of a fuel cell hybrid electric bus
J Zhang, C Lv, M Qiu, Y Li, D SunEnergy conversion and management 76, 1117-1124, 2013201
84
2013
Extended-Kalman-filter-based regenerative and friction blended braking control for electric vehicle equipped with axle motor considering damping and elastic properties of …
C Lv, J Zhang, Y LiVehicle System Dynamics 52 (11), 1372-1388, 2014201
75
2014
Mode-switching-based active control of a powertrain system with non-linear backlash and flexibility for an electric vehicle during regenerative deceleration
C Lv, J Zhang, Y Li, Y YuanProceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2015201
54
2015
Hardware-in-the-loop simulation of pressure-difference-limiting modulation of the hydraulic brake for regenerative braking control of electric vehicles
C Lv, J Zhang, Y Li, D Sun, Y YuanProceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2014201
52
2014
A Novel Regenerative Electrohydraulic Brake System: Development and Hardware-in-Loop Tests
Y Yuan, J Zhang, Y Li, C LiIEEE Transactions on Vehicular Technology 67 (12), 11440-11452, 2018201
49
2018
Study on a linear relationship between limited pressure difference and coil current of on/off valve and its influential factors
J Zhang, C Lv, X Yue, Y Li, Y YuanISA transactions 53 (1), 150-161, 2014201
40
2014
Regenerative braking control algorithm for an electrified vehicle equipped with a by-wire brake system
C Lv, J Zhang, Y Li, Y YuanSAE Technical Paper, 2014201
36
2014
Directional-stability-aware brake blending control synthesis for over-actuated electric vehicles during straight-line deceleration
C Lv, J Zhang, Y Li, Y YuanMechatronics 38, 121-131, 2016201
36
2016
Time-varying delays compensation algorithm for powertrain active damping of an electrified vehicle equipped with an axle motor during regenerative braking
J Zhang, Y Li, C Lv, J Gou, Y YuanMechanical Systems and Signal Processing 87, 45-63, 2017201
32
2017
Human–Machine Collaboration for Automated Driving Using an Intelligent Two‐Phase Haptic Interface
C Lv, Y Li, Y Xing, C Huang, D Cao, Y Zhao, Y LiuAdvanced Intelligent Systems 3 (4), 2000229, 2021202
28
2021
Safe reinforcement learning using robust action governor
Y Li, N Li, HE Tseng, A Girard, D Filev, I KolmanovskyLearning for Dynamics and Control, 1093-1104, 2021202
27
2021
Synthesis of a hybrid-observer-based active controller for compensating powetrain backlash nonlinearity of an electric vehicle during regenerative braking
C Lv, J Zhang, Y Li, Y YuanSAE International Journal of Alternative Powertrains 4 (1), 190-198, 2015201
21
2015
Cyber-physical system based optimization framework for intelligent powertrain control
C Lv, H Wang, B Zhao, D Cao, W Huaji, J Zhang, Y Li, Y YuanSAE International Journal of Commercial Vehicles 10 (17-01-0426), 254-264, 171
20
2017
A receding horizon sliding control approach for electric powertrains with backlash and flexible half-shafts
Y Li, A Hansen, J Karl Hedrick, J ZhangVehicle System Dynamics 55 (12), 1823-1841, 202
17
2017
Coordinated control of the steering system and the distributed motors for comprehensive optimization of the dynamics performance and the energy consumption of an electric vehicle
Y Li, J Zhang, C Lv, Y YuanProceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2017201
15
2017

Referred From: https://scholar.google.com.hk/citations?user=QlZgA6sAAAAJ&hl=zh-CN

Cited by
Citations 1657
h-index 18
i10-index 23
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