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Liang Li

Researcher at Tsinghua University

Publications -  149
Citations -  5272

Liang Li is an academic researcher from Tsinghua University. The author has contributed to research in topics: Control theory & Vehicle dynamics. The author has an hindex of 37, co-authored 137 publications receiving 3460 citations. Previous affiliations of Liang Li include Beijing Institute of Technology.

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Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route

TL;DR: Simulation results demonstrate that, integrated with the correctional logic of AMT gear shifting, the proposed energy management strategy can guarantee that the engine and the electric machine work in the high-efficiency area with optimal energy distribution, while keeping drivability in the variation of road slope and loads.
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An innovative information fusion method with adaptive Kalman filter for integrated INS/GPS navigation of autonomous vehicles

TL;DR: In this article, a navigation technology based on Adaptive Kalman Filter with attenuation factor is proposed to restrain noise in order to improve the precision of navigation information, and the accuracy of the integrated navigation can be improved due to the reduction of the influence of environment noise.
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Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses

TL;DR: In this paper, a novel driving-behavior-aware modified stochastic model predictive control method is proposed for the plug-in hybrid electric bus, where the K-means is employed to classify driving behaviors, and the driver models based on Markov chains are obtained under different kinds of driving behaviors.
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Model Predictive Control-based Efficient Energy Recovery Control Strategy for Regenerative Braking System of Hybrid Electric Bus

TL;DR: In this article, an efficient energy recovery control strategy is proposed based on the modified nonlinear model predictive control method, which can ensure vehicle safety during emergency braking situation and improve the recovery energy almost 17% compared with the conventional rule-based strategy.
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A Three-Dimensional Dynamics Control Framework of Vehicle Lateral Stability and Rollover Prevention via Active Braking With MPC

TL;DR: 3DDSC can achieve a seamless integration of lateral stability and rollover prevention in complicated steering maneuvers and is evaluated with a CarSim–MATLAB cosimulation and hardware-in-the-loop simulation.