Active Torque Damping for an ICE-Based Domestic CHP System With an SPM Machine Drive

Morandin, Mattia; Bolognani, Silverio; Faggion, Adriano

doi:10.1109/tia.2015.2399617

Cited by 18 publications

(11 citation statements)

References 16 publications

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“…In (14), w(t) is a non-stationary disturbance generated by a multi-sinusoidal exogenous linear system. Suppose that w(t) represents η sinusoidal harmonics of which the frequencies are ω h i (t) ∈ [ω h i , ω h i ]; i ∈ 1⋯η and ω h i (t) = i(ω 0 ), where ω 0 is supposed to be the varying parameter.…”

Section: Harmonics Hybrid Torque Controlmentioning

confidence: 99%

See 1 more Smart Citation

Mechanical sensorless LPV torque ripple control of hybrid electric vehicle

Cauët

Etien

Rambault

2017

IET Control Theory & Applications

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Section: Harmonics Hybrid Torque Controlmentioning

confidence: 99%

“…Other solutions can be implemented in a wide range of applications, e.g. active ripple compensation has been applied in domestically combined heat and power [14]. However, all these approaches require precise and expensive instrumentation.…”

Section: Introductionmentioning

confidence: 99%

Mechanical sensorless LPV torque ripple control of hybrid electric vehicle

Cauët

Etien

Rambault

2017

IET Control Theory & Applications

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“…Recently, as the amount of resources consumed by one person has increased, there are growing concerns about environmental problems caused by carbon dioxide emitted during energy generation and energy shortage problems [1]. Smart grid technologies have been gaining much attention because they help to solve these problems by enabling more efficient use of energy [2]. A smart grid is an intelligent power grid that combines information and communication technology with the existing power grid and integrates the work of all users in the power network by using computer-based remote control and automation [3].…”

Section: Introductionmentioning

confidence: 99%

“…(1) We propose a novel two-stage STLF scheme that can predict electric energy consumption accurately compared to other previous methods. (2) We propose a method to generate an optimal operation schedule of CCHP based on the predictive values of electric energy consumption and electric/gas charges in South Korea. 3We propose a method to minimize the electric charge by calculating optimal contract demand and electric rate.…”

Section: Introductionmentioning

confidence: 99%

A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling

et al. 2020

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Smart grid systems, which have gained much attention due to its ability to reduce operation and management costs of power systems, consist of diverse components including energy storage, renewable energy, and combined cooling, heating and power (CCHP) systems. The CCHP has been investigated to reduce energy costs by using the thermal energy generated during the power generation process. For efficient utilization of CCHP and numerous power generation systems, accurate short-term load forecasting (STLF) is necessary. So far, even though many single algorithm-based STLF models have been proposed, they showed limited success in terms of applicability and coverage. This problem can be alleviated by combining such single algorithm-based models in ways that take advantage of their strengths. In this paper, we propose a novel two-stage STLF scheme; extreme gradient boosting and random forest models are executed in the first stage, and deep neural networks are executed in the second stage to combine them. To show the effectiveness of our proposed scheme, we compare our model with other popular single algorithm-based forecasting models and then show how much electric charges can be saved by operating CCHP based on the schedules made by the economic analysis on the predicted electric loads.

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“…The origin of the vibration and the design of a damping control method to suppress such oscillations to improve the drivability of an EV are studied. The drive motor torque that is given by the ECU is adjusted according to the acceleration rate of the motor speed to attenuate the resonant frequency [5,6]. The proposed control strategy is validated by simulation and experimental tests.…”

Section: Introductionmentioning

confidence: 99%

Study on Active Suppression Control of Drivetrain Oscillations in an Electric Vehicle

Huang

Cui

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Due to the low damping in a central driven electric vehicle and lack of passive damping mechanisms as compared with a conventional vehicle, the vehicle may endure torsional vibrations which may deteriorates the vehicle's drivability. Thus active damping control strategy is required to reduce the undesirable oscillations in an EV. In this paper, the origin of the vibration and the design of a damping control method to suppress such oscillations to improve the drivability of an EV are studied. The traction motor torque that is given by the vehicle controller is adjusted according to the acceleration rate of the motor speed to attenuate the resonant frequency. Simulations and experiments are performed to validate the system. The results show that the proposed control system can effectively suppress oscillations and hence improve drivability.

show abstract

Active Torque Damping for an ICE-Based Domestic CHP System With an SPM Machine Drive

Cited by 18 publications

References 16 publications

Mechanical sensorless LPV torque ripple control of hybrid electric vehicle

Mechanical sensorless LPV torque ripple control of hybrid electric vehicle

A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling

Study on Active Suppression Control of Drivetrain Oscillations in an Electric Vehicle

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