Y
Yuanbo Zhang
Researcher at Beijing Institute of Technology
Publications - 14
Citations - 351
Yuanbo Zhang is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Regenerative brake & Hybrid electric bus. The author has an hindex of 5, co-authored 12 publications receiving 233 citations. Previous affiliations of Yuanbo Zhang include Tsinghua University & Yanshan University.
Papers
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Journal ArticleDOI
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 robust H∞ control-based hierarchical mode transition control system for plug-in hybrid electric vehicle
TL;DR: In this article, a robust hierarchical mode transition control method for a plug-in hybrid electric bus (PHEB) with pre-transmission parallel hybrid powertrain is presented, where the mode transition process is divided into five stages to clearly describe the powertrain dynamics.
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Application-Oriented Stochastic Energy Management for Plug-in Hybrid Electric Bus With AMT
TL;DR: An adaptive approach based on the stochastic dynamic programming, which trades off the vehicle fuel economy and drivability in real time by dynamically adjusting the gearshift points and the torque split, is developed for the variation of the complicated bus driving cycles.
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A multi-objective optimization energy management strategy for power split HEV based on velocity prediction
Tokumi Kanemura,Weida Wang,Guo Xinghua,Chao Yang,Yuanbo Zhang,Yulong Zhao,Denggao Huang,Changle Xiang +7 more
TL;DR: A multi-objective optimization energy management strategy based on velocity prediction for a dual-mode power split HEV with HESS is proposed in this paper and the Powell-Modified algorithm is introduced to execute the solving process of PMP.
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Two-step optimal energy management strategy for single-shaft series-parallel powertrain
TL;DR: In this paper, a two-step optimal energy management strategy is proposed for a single-shaft series-parallel powertrain, in which two motors are equivalently regarded as one and a stochastic dynamic programming (SDP) is adopted to optimize the power split between the engine and the equivalent motor.