Dynamical analysis of series hybrid electric vehicle powertrain with torsional vibration: Antimonotonicity and coexisting attractors

Meli, Maxim Idriss Tametang; Yémélé, David; Leutcho, Gervais Dolvis

doi:10.1016/j.chaos.2021.111174

Cited by 12 publications

(3 citation statements)

References 26 publications

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“…To analyze the continuous dynamic system, a vector field

X

can be utilized to discuss energy problems and a generalized Hamiltonian form is further used for Homoclinic or Heteroclinic orbit analysis 41 . This equation can be given as follow:

\dot{X}=f(X)=[J(X)-R(X)]\nabla H,

where, the matrix

J(X)

and

R(X)

can be obtained as the following form:

\left\{\begin{array}{c}\dot{H}=\nabla {H}^{T}R(X)\nabla H=\nabla {H}^{T}{f}_{d}(X)\\ \nabla {H}^{T}J(X)\nabla H=0,J(X)\nabla H={f}_{c}(X)\end{array}.\right.

…”

Section: Torsional Vibration Analysis Of the Wind Turbine Drivetrainmentioning

confidence: 99%

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Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain

Yang,

Zhou,

Xiong

et al. 2023

Energy Science & Engineering

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The drivetrain has an important impact on the stability and reliability of wind turbines operating in complex conditions, which belongs to the electromechanical coupling system. This work studies the two domains of research on drivetrain vibration analysis and control method in detail. The electromechanically coupled torsional vibration model is first established by considering the air gap magnetic field energy of the PMSG. Preliminary analysis in terms of Hamiltonian energy indicates that there is sufficient energy to sustain the exciting oscillation behaviors. Moreover, to reduce the vibration amplitude caused by wind speed or torsional stiffness, a novel adaptive fixed‐time control method is proposed to solve the issue of wind turbine drivetrain chaotic oscillation with uncertainties and disturbances. Furthermore, the proposed method not only can prevent the jumping and bifurcation of torsional vibration from happening, but also there are the advantages of the control scheme with high accuracy, fast convergence rate and strong robustness. For the fair comparison, three different control methods have been used to demonstrate the superiority of the control scheme by the simulation results. The research results can provide a theoretical basis for the parameter design and control of wind turbine drivetrain.

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“…To analyze the continuous dynamic system, a vector field

X

can be utilized to discuss energy problems and a generalized Hamiltonian form is further used for Homoclinic or Heteroclinic orbit analysis 41 . This equation can be given as follow:

\dot{X}=f(X)=[J(X)-R(X)]\nabla H,

where, the matrix

J(X)

and

R(X)

can be obtained as the following form:

\left\{\begin{array}{c}\dot{H}=\nabla {H}^{T}R(X)\nabla H=\nabla {H}^{T}{f}_{d}(X)\\ \nabla {H}^{T}J(X)\nabla H=0,J(X)\nabla H={f}_{c}(X)\end{array}.\right.

…”

Section: Torsional Vibration Analysis Of the Wind Turbine Drivetrainmentioning

confidence: 99%

“…To analyze the continuous dynamic system, a vector field X can be utilized to discuss energy problems and a generalized Hamiltonian form is further used for Homoclinic or Heteroclinic orbit analysis. 41 This equation can be given as follow:…”

Section: Hamilton Energy Analysis Of the Systemmentioning

confidence: 99%

Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain

Yang,

Zhou,

Xiong

et al. 2023

Energy Science & Engineering

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“…Range extender hybrid automobiles (series hybrids) rely on their conventional engine to generate electricity to power a generator that recharges the batteries. Instead of propelling the car, the engine provides energy to the electric motor [42]. e well-known model is BMW i3 [43].…”

Section: Applicationmentioning

confidence: 99%

Fault Diagnosis in Regenerative Braking System of Hybrid Electric Vehicles by Using Semigroup of Finite-State Deterministic Fully Intuitionistic Fuzzy Automata

Kousar

Aslam

Kausar

et al. 2022

Computational Intelligence and Neuroscience

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Regenerative braking is one of the most promising and ecologically friendly solutions for improving energy efficiency and vehicle stability in electric and hybrid electric cars. This research describes a data-driven method for detecting and diagnosing issues in hybrid electric vehicle regenerative braking systems. Early fault identification can help enhance system performance and health. This study is centered on the construction of an inference system for fault diagnosis in a generalized fuzzy environment. For such an inference system, finite-state deterministic fully intuitionistic fuzzy automata (FDFIFA) are established. Semigroup of FDFIFA and its algebraic properties including substructures and structure-preserving maps are investigated. The inference system uses FDFIFA semigroups as variables, and FDFIFA semigroup homomorphisms are employed to illustrate the relationship between variables. The newly established model is then applied to diagnose the possible fault and their nature in the regenerative braking systems of hybrid electric vehicles by modeling the performance of superchargers and air coolers. The method may be used to evaluate faults in a wide range of systems, including autos and aerospace systems.

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Small-Signal Dynamics of Interconnected Subsystems in Electric Vehicle

Mandal,

El Aroudi

2024

Springer Proceedings in Physics

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Dynamical analysis of series hybrid electric vehicle powertrain with torsional vibration: Antimonotonicity and coexisting attractors

Cited by 12 publications

References 26 publications

Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain

Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain

Fault Diagnosis in Regenerative Braking System of Hybrid Electric Vehicles by Using Semigroup of Finite-State Deterministic Fully Intuitionistic Fuzzy Automata

Small-Signal Dynamics of Interconnected Subsystems in Electric Vehicle

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