Transient Dynamic Response Analysis of Engine Start for A Hybrid Electric Vehicle

Yang, Kai; Li, Teng; Qin, Yechen; Zhang, Dejiu; Ji, Qinghui

doi:10.1109/cvci47823.2019.8951669

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Since the 13 DOF is too complicated for controller, a simplified model is necessary for the design of controller. According to Tang et al 33 the low-order natural frequency of the transmission system has a great influence on the vehicle impact. Thus, the natural frequency of DM-PHEV should be analyzed first.…”

Section: Mtp Control Problem Formulationmentioning

confidence: 99%

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Event-triggered H∞ coordinated control based mode transition system of DM-PHEV

Liang

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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The increasing burden of Controller Area Network (CAN) in PHEVs may induce time-varying delays into the mode transition process (MTP) system and damage the performance of MTP. This paper proposes an event-triggered [Formula: see text] coordinated controller (EHCC) for the MTP of dual motor plug-in hybrid electric vehicles (DM-PHEVs). Firstly, a 13-degree of freedom (13-DOF) model of the transmission system of DM-PHEV is built to simulate the dynamic characteristic of DM-PHEV. Furthermore, according to the results of sensitivity analysis, the stiffness which has great influence on the vehicle dynamics is selected. A simplified 4-DOF mathematical model is built for controller design by ignoring other less important stiffness. Then, an event generator is developed as the threshold condition to check which measurements should be transmitted to the controller. Combing the event generator with [Formula: see text] control strategy, EHCC is presented to improve the performance of MTP from electric mode to hybrid driving mode under external disturbance. Finally, simulation and hardware-in-the-loop (HiL) test demonstrate that the proposed EHCC can achieve similar performance to time-triggered [Formula: see text] coordinated controller (THCC) while only utilizing 54% communication resources.

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Section: Mtp Control Problem Formulationmentioning

confidence: 99%

“…Thus, the state variables must be updated frequently at the transition point. Since the most sensitive state variable is the speed signals, the other state variables are transformed as zeros in equation (33). Therefore, for MTP system in Stage II and III, equation ( 33) is adjusted to…”

Section: Mathematical Model Of Dm-phev In Stage IVmentioning

confidence: 99%

Event-triggered H∞ coordinated control based mode transition system of DM-PHEV

Liang

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…This may include lubrication oil temperature, vibration signature, debris contamination etc. Condition monitoring also aids in judging the reliability of machinery and gaining performance insights [3].Tang and etal [4] identified the excitation sources of engine by vibration and noise signals. Sanga and etal [5] demonstrated an approach for condition monitoring by identifying the change in colour characteristics of lubrication oil.…”

Section: IImentioning

confidence: 99%

Condition Monitoring of Marine Fuel Oil Separator System

Sanadhya¹

2020

IJRASET

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Centrifugal Fuel oil separators are very important components in marine industry. Catastrophic failure of centrifugal fuel oil separators can have fatal consequences. The faults in fuel oil separators are hard to detect manually but can be identified by vibration and noise. In this research an approach for condition monitoring of the centrifugal fuel oil separators is presented using vibration analysis and noise analysis. Three axis MEMS accelerometer and piezo type microphone is interfaced with Arduino UNO microcontroller to collect the vibration and acoustic signals. The signals are analyzed with crest factor by a data analysis application developed in Microsoft Visual studio for predicting faults. The system is tested with data acquired in real time from a commercial centrifugal fuel oil separator and high fault detection efficiency is observed.

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“…Regardless of the simplified ''steady-state Map + first-order inertia module'' model or the complex engine average model, the modeling errors are unavoidable. At the same time, due to the non-linearity, uncertainty and environment influence, accurate engine torque control is also difficult to achieve [36].…”

Section: Problem Statementmentioning

confidence: 99%

Mode Transition Control of a Power-Split Hybrid Electric Vehicle Based on Improved Extended State Observer

et al. 2020

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In order to improve the mode switching stability of a power-split hybrid electric vehicle (HEV), a torque coordinated control strategy based on disturbance observation and compensation is proposed. Aiming at the problem of engine torque disturbances caused by engine modeling error, torque control error, working environment interference and other factors, and vehicle load torque interference caused by changes in vehicle driving conditions, an improved linear extended state observer (ILESO) is designed at first. According to the deviation control principle, the state variable regulation mechanism using the same error term in the traditional linear extended state observer (TLESO) is revised, and improved by adding the corresponding deviation between the state variable and its observed value separately. Then the Lyapunov stability of the error system for the ILESO is proved gradually. On this basis, a torque redistribution algorithm of two motors based on disturbances compensation is put forward. After that, simulation verification and road adaptability analysis are carried out subsequently. The results show that the coordinated control strategy based on ILESO, compared with the TLESO, has higher observation accuracy, and makes the HEV have better vehicle speed tracking stability and mode switching smoothness when the vehicle is subject to the same external disturbance, as well as excellent adaptability under a wide range of road conditions.

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Transient Dynamic Response Analysis of Engine Start for A Hybrid Electric Vehicle

Cited by 6 publications

References 9 publications

Event-triggered H∞ coordinated control based mode transition system of DM-PHEV

Event-triggered H∞ coordinated control based mode transition system of DM-PHEV

Condition Monitoring of Marine Fuel Oil Separator System

Mode Transition Control of a Power-Split Hybrid Electric Vehicle Based on Improved Extended State Observer

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