Predictive-model-based dynamic coordination control strategy for power-split hybrid electric bus

Zeng, Xiaohua; Yang, Nannan; Wang, Junnian; Song, Dafeng; Zhang, Nong; Shang, Mingli; Liu, Jianxin

doi:10.1016/j.ymssp.2014.12.016

Cited by 66 publications

(39 citation statements)

References 38 publications

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“…Active damping control based on reference output shaft speed estimation and carrier torque estimation based on transmission kinematics and dynamics were applied to mitigate driveline oscillations and suppress torque fluctuation during engine cranking. Zeng [136] proposed a dynamic coordination control strategy based on model predictive control for a power-split hybrid electric bus, which is well suited to complex driving cycles.…”

Section: Hybrid Mode Shifting Controlmentioning

confidence: 99%

Progress in Automotive Transmission Technology

Dong

Liu

et al. 2018

Automot. Innov.

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Much progress has been made in the development of automotive transmissions over the past 20 years, e.g., an increased speed number, expanded ratio spread and improved efficiency and shift quality. Automotive transmissions are moving toward electrification in response to stringent legislation on emissions and the pressing demand for better fuel economy. This paper reviews progress in automotive transmission technology. Assisted by computer-aided programs, new transmission schemes are constantly being developed. We therefore first introduce the synthesis of the transmission scheme and parameter optimization. We then discuss the progress in the transmission technology of a conventional internal combustion engine vehicle in terms of new layouts; improved efficiency; noise, vibration and harshness technology; and the shifting strategy and control technology. As the major development trend, transmission electrification is subsequently discussed; this discussion includes the configuration design, energy management strategy, hybrid mode shifting control, single-speed and multi-speed electric vehicle transmission and distributed electric drive. Finally, a summary and outlook are presented for conventional automotive transmissions, hybrid transmissions and electric vehicle transmissions.

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Section: Hybrid Mode Shifting Controlmentioning

confidence: 99%

Progress in Automotive Transmission Technology

Dong

Liu

et al. 2018

Automot. Innov.

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“…Zhu et al adopted a fuzzy gain-scheduling PID controller as feedback to compensate for the various nonlinearities of power-split systems and further enhance vehicle drivability and performance [18]. In [19], we proposed a dynamic coordination control strategy that is based on a model prediction methodology to improve the riding comfort of a dual planetary hybrid electric system [19]. However, all these anti-jerk methods are simulation-oriented and can thus provide a reference for real-vehicle anti-jerk control to a certain extent, but cannot be used directly in real vehicles because of the required time-consuming calculations.…”

Section: Introductionmentioning

confidence: 99%

“…A simplified parallel HEV model was established as the basis of the proposed mode-transition-control approach in [12], and quadratic terms related to velocity are neglected in the vehicle dynamics model in [13] to reduce the difficulty of controller design. Certain studies on vehicle jerk problems have adopted a simple first-order-lag engine model to predict engine torque [13,18,19]. These simplifications would detract from the accuracy of vehicle dynamics models and result in inaccuracies in model parameter estimation, especially power-source dynamic torque estimation, which is key to limiting the control effect of most proposed anti-jerk strategies.…”

Section: Introductionmentioning

confidence: 99%

Jerk Analysis of a Power-Split Hybrid Electric Vehicle Based on a Data-Driven Vehicle Dynamics Model

et al. 2018

Self Cite

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Given its highly coupled multi-power sources with diverse dynamic response characteristics, the mode transition process of a power-split Hybrid Electric Vehicle (HEV) can easily lead to unanticipated passenger-felt jerks. Moreover, difficulties in parameter estimation, especially power-source dynamic torque estimation, result in new challenges for jerk reduction. These two aspects entangle with each other and constitute a complicated coupling problem which obstructs the realization of a valid anti-jerk method. In this study, a vehicle dynamics model with reference to a data-driven modeling method is first established, integrating a full-time artificial neural network engine dynamic model that can accurately predict engine dynamic torque. Then the essential reason for the occurrence of vehicle jerks in real driving conditions is analyzed. Finally, to smooth the mode transition process, a more practical anti-jerk strategy based on power-source torque changing rate limitation (TCRL) is proposed. Verification studies indicate that the data-driven vehicle dynamics model has enough accuracy to reflect the vehicle dynamic characteristics, and the proposed TCRL strategy could reduce the vehicle jerk by up to 85.8%, without any sacrifice of vehicle performance. This research provides a feasible method for precise modeling of vehicle dynamics and a reference for improving the riding comfort of hybrid electric vehicles.

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“…This reduced SQ is caused by the occurrence of torque interruption, when the clutch (brake) is improperly engaged during mode shift. Previous researches on the transition state of power-split HEV have investigated optimal control design for a vehicle equipped with a dual-clutch transmission [22], model predictive control method applied to regulate the clutch torque [23], slipping-speed control approach of the clutch [24], robust controller based on the mu-synthesis [25], adaptive control proposed for the clutch-to-clutch shift [26], model referenced control [27], and dynamic coordinated control strategy [28,29]. To improve the SQ, a motor torque control is applied for a power-split HEV [30].…”

Section: Introductionmentioning

confidence: 99%

Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission

Huang

Chen

et al. 2017

Energies

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Given that power-split transmission (PST) is considered to be a major powertrain technology for hybrid heavy-duty vehicles (HDVs), the development and application of PST in the HDVs make mode shift control an essential aspect of powertrain system design. This paper presents a shift schedule design and torque control strategy for a hybrid HDV with PST during mode shift, intended to reduce the output torque variation and improve the shift quality (SQ). Firstly, detailed dynamic models of the hybrid HDV are developed to analyze the mode shift characteristics. Then, a gear shift schedule calculation method including a dynamic shift schedule and an economic shift schedule is provided. Based on the dynamic models and the designed shift schedule, a mode shift performance simulator is built using MATLAB/Simulink, and simulations are carried out. Through analysis of the dynamic equations, it is seen that the inertia torques of the motor-generator lead to the occurrence of transition torque. To avoid the unwanted transition torque, we use a mode shift control strategy that coordinates the motor-generator torque to compensate for the transition torque. The simulation and experimental results demonstrate that the output torque variation during mode shift is effectively reduced by the proposed control strategy, thereby improving the SQ.

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Predictive-model-based dynamic coordination control strategy for power-split hybrid electric bus

Cited by 66 publications

References 38 publications

Progress in Automotive Transmission Technology

Progress in Automotive Transmission Technology

Jerk Analysis of a Power-Split Hybrid Electric Vehicle Based on a Data-Driven Vehicle Dynamics Model

Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission

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