Optimal energy-efficient predictive controllers in automotive air-conditioning/refrigeration systems

Huang, Yanjun; Khajepour, Amir; Bagheri, Farshid; Bahrami, Majid

doi:10.1016/j.apenergy.2016.09.086

Cited by 52 publications

(17 citation statements)

References 43 publications

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“…where X denotes the displacement along the lane of ego vehicle; ΔX denotes the distance along the lane between the ego vehicle and the target vehicle; V X and V t , respectively, denote the velocity along the lane of the ego vehicle and the target vehicle; a X denotes the acceleration along the lane of the ego vehicle. To be used in the MPC structure, a discrete linear predictive model based on state space is considered [34,35]. The state variable, output variable, and control variable are defined as…”

Section: Vehicle Longitudinal Modelmentioning

confidence: 99%

“…Although using a dynamics model is capable of considering these dynamics constraints, high-fidelity vehicle dynamics model is very complicated and non-linear, which will greatly increase the computational burden during the optimising process of MPC. Thus, derived from the bicycle model presented in Section 3, a linear 2 degree-of-freedom vehicle dynamics model is applied, which can be described by (31)- (35).…”

Section: Vehicle Dynamics Modelmentioning

confidence: 99%

“…Thus, a linearisation based on Taylor expansion is applied. Based on (31)- (35), x˙l at can be described as…”

Section: Vehicle Dynamics Modelmentioning

confidence: 99%

See 2 more Smart Citations

Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control

Yuan

Shu

Huang

et al. 2019

IET Intelligent Transport Systems

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Section: Vehicle Longitudinal Modelmentioning

confidence: 99%

Section: Vehicle Dynamics Modelmentioning

confidence: 99%

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Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control

Yuan

Shu

Huang

et al. 2019

IET Intelligent Transport Systems

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“…Idling fuel efficiency is estimated to be between 1% and 11%, whereas at highway speeds, diesel engines could provide up to 40% efficiency. 1 Considering the fact that for A/C-R service vehicles, 15% to 25% of engine fuel consumption goes to auxiliary devices, 2,3 utilizing an anti-idling solution is necessary. Besides low engine efficiency and high fuel costs, idling increases greenhouse gas emissions, the level of noise pollution, and engine wear.…”

Section: Introductionmentioning

confidence: 99%

Anti-idling systems for service vehicles: Modeling and experiments

Khazraee

Huang

Khajepour

2017

Proceedings of the Institution of Mechanical Engineers, Part K:

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Vehicles are a major source of fuel consumption and air pollution. Any improvement in their efficiency impacts the environment and economy positively. Service vehicles such as food delivery trucks have many loading and unloading stops during their daily work cycle. In these stops, their auxiliary devices need to be active and hence the engines run at its idling speed resulting in extremely low fuel efficiency. A regenerative auxiliary power system is proposed for anti-idling of service vehicles. This system reduces the engine idling and maximizes the regenerative braking energy by utilizing an additional battery. In this paper, different system configurations and possible options for integration of regenerative auxiliary power system to the vehicle powertrain are studied. Backward-looking scalable powertrain components modeling approach is utilized to create a flexible system model which can be easily modified for different vehicles. The full system model has scalability and composability features. A library for common components used in service vehicles is developed for ease of development of such anti-idling systems. Hardware-in-the-loop tests and a prototype model of regenerative auxiliary power system have been utilized for the laboratory evaluation in order to validate the model and characterize the regenerative auxiliary power system components.

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“…In the current mathematical model, the ice storage was assumed be a process of ice accumulation with little effect of frosting [36].…”

mentioning

confidence: 99%

Enhancement Study of Ice Storage Performance in Circular Tank with Finned Tube

et al. 2019

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Combined experimental and numerical studies are conducted to study ice storage performance of an ice storage tank with finned tube. Axially arranged fins on the refrigerant tube are applied to enhance the solidification. The evolution of the solid–liquid interface and the variation of temperature of the typical position is examined. The effect of natural convection is discussed in detail. In addition, the effects of refrigerant temperature and initial water temperature on the ice storage performance are analyzed. The results indicate that the ice storage performance is enhanced by the metal fins remarkably. The defection of poor heat transfer after ice is formed can be solved by applying fins in ice storage devices. Natural convection leads to unnecessary mixing of water with different temperatures, lessening the cooling energy stored and acting as a disadvantage during solidification. Decreasing the refrigerant temperature and initial water temperature is beneficial for ice storage.

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Optimal energy-efficient predictive controllers in automotive air-conditioning/refrigeration systems

Cited by 52 publications

References 43 publications

Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control

Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control

Anti-idling systems for service vehicles: Modeling and experiments

Enhancement Study of Ice Storage Performance in Circular Tank with Finned Tube

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