Nonlinear-Control Strategy for Advanced Vehicle Thermal-Management Systems

Salah, Mohammad; Mitchell, T.H.; Wagner, John R.; Dawson, D.M.

doi:10.1109/tvt.2007.901892

Cited by 75 publications

(30 citation statements)

References 4 publications

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“…It is assumed that the heat is only taken away from engine by coolant flow, so the effects of the air going around the engine, radiation and the heat taken away by exhaust are all ignored. The model has been used and verified in different papers [11], [4], [12]. Heat exchange equations are written using the second law of thermodynamics.…”

Section: Engine Cooling System Modelingmentioning

confidence: 99%

“…The fan air speed is a nonlinear function of the fan rotational speed. The formulation described here is based on [11]. Similar to the pump, equations for electrical fan are:…”

Section: E Electric Radiator Fanmentioning

confidence: 99%

“…On the other hand, it is desirable to operate the engine as hot as possible to maximize thermal efficiency. Different strategies have been proposed for thermal management system such as classic state feedback controller [5], [8], optimal control methods [9], non-linear controllers [10], [11], [4], etc. In the current work, the concept of energy buffer control in the conventional trucks is presented.…”

Section: Introductionmentioning

confidence: 99%

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Predictive control of the engine cooling system for fuel efficiency improvement

Khodabakhshian

Feng

Wikander

2014

2014 IEEE International Conference on Automation Science and Engineering (CASE)

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Abstract-The engine cooling system in trucks is one of the main sources of parasite load. Thus fuel efficiency can be improved by optimal control of engine thermal management system considering fuel consumption minimization as the objective. Although several optimal control methods have been proposed for the engine cooling system, their main emphasize is on regulating engine and coolant temperature in an acceptable range rather than minimizing fuel consumption. In contrast, this paper investigates the fuel saving potential of predictive optimal control methods for the engine cooling system of conventional trucks. Our method exploits the idea of energy buffers in the automotive system, where the engine cooling system and the battery serve as energy buffers. The advantages of this approach are the recovery of brake energy and the balance of energy sources so that the total energy loss is minimized. A model predictive controller is used as the real time controller, and the results are compared with a simple state feedback controller and a global optimal solution obtained by dynamic programming. The results show limited but notable improvement in fuel efficiency. The results also construct a base for ongoing research on energy buffer control in conventional heavy trucks.

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Section: Engine Cooling System Modelingmentioning

confidence: 99%

“…The fan air speed is a nonlinear function of the fan rotational speed. The formulation described here is based on [11]. Similar to the pump, equations for electrical fan are:…”

Section: E Electric Radiator Fanmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictive control of the engine cooling system for fuel efficiency improvement

Khodabakhshian

Feng

Wikander

2014

2014 IEEE International Conference on Automation Science and Engineering (CASE)

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“…Accordingly, any break in the cooler will mean lost fat and not tainting of the oil via ocean water. [2][3]Where the motor has oil-cooled cylinders they will be provided from the greasing up oil framework, conceivably at a higher weight delivered by sponsor pumps, e.g. Sulzer RTA motor.…”

Section: Introductionmentioning

confidence: 99%

Cooling System For Marine Ship Fuel Engines

Prasad.R¹,

Tjprc²

2018

IJMPERD

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In previous days all marine systems are run using coal engines. It does not need any fuel to run the ship engine. But nowadays all maritime operations are executed by using fuel engine; it may be diesel or petrol. This can be used for improving the speed and quality of the aquatic systems. One of the drawbacks of the fuel engine is overheating, too much of heat in the engine creates the problem in the marine system. To overcome the problem by using a cooling system for cooling the engine while overheating. Two ways can do it, one is fresh water cooling system, and another one is seawater cooling system. These two cooling systems are frequently used in the marine engine for avoiding the heat during the time of running.

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“…Some recent studies paid more attention to the nonlinear engine and radiator thermocharacteristics and the corresponding nonlinear PWM control techniques [6][7][8][9], which so far has not yielded mass produced equipment.…”

Section: Introductionmentioning

confidence: 99%

Development of an Integrated Cooling System Controller for Hybrid Electric Vehicles

Wang

Sun

2017

Journal of Electrical and Computer Engineering

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A hybrid electrical bus employs both a turbo diesel engine and an electric motor to drive the vehicle in different speed-torque scenarios. The cooling system for such a vehicle is particularly power costing because it needs to dissipate heat from not only the engine, but also the intercooler and the motor. An electronic control unit (ECU) has been designed with a single chip computer, temperature sensors, DC motor drive circuit, and optimized control algorithm to manage the speeds of several fans for efficient cooling using a nonlinear fan speed adjustment strategy. Experiments suggested that the continuous operating performance of the ECU is robust and capable of saving 15% of the total electricity comparing with ordinary fan speed control method.

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Nonlinear-Control Strategy for Advanced Vehicle Thermal-Management Systems

Cited by 75 publications

References 4 publications

Predictive control of the engine cooling system for fuel efficiency improvement

Predictive control of the engine cooling system for fuel efficiency improvement

Cooling System For Marine Ship Fuel Engines

Development of an Integrated Cooling System Controller for Hybrid Electric Vehicles

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