Application of Design of Experiments and Physics Based Approach in the Development of Aero Shutter Control Algorithm

Shigarkanthi, Vinod; Damodaran, V.; Soundararaju, Deepak; Kanniah, Kannan

doi:10.4271/2011-01-0155

Cited by 15 publications

(3 citation statements)

References 3 publications

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“…The constraints below (21a) are all simple boundary constraints on state and control input, except the inequality constraint (21i) on alternator torque. This is because τ a (k) is unfortunately quadratic in the control input by (23). Consequently, τ a (k) is linearized at the estimated control vectorû k .…”

Section: B Boundary Constraints On Torquementioning

confidence: 99%

“…The predictive [23] and optimal control strategies are more effective for the two objectives. Karnik et al [16] and Bonkoski et al [17] formulate a model predictive controller (MPC) for temperature regulation and constraint satisfaction for advanced cooling systems with a continuous grille shutter, but the method does not directly minimize the energy consumption.…”

Section: Introductionmentioning

confidence: 99%

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Fuel Minimization of the Electric Engine Cooling System With Active Grille Shutter by Iterative Quadratic Programming

Feng

Wikander

2020

IEEE Trans. Veh. Technol.

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The electric engine cooling system with the active grille shutter requires intelligent and predictive control to reach its full benefits on fuel economy and thermal management. Conventional control methods regulate the coolant temperature to a fixed value but do not directly minimize the vehicle's fuel/energy consumption. By contrast, we design a fuel minimization controller through solving constraint nonlinear optimization problems, whose cost function is the total fuel consumption and constraints are the vehicle's physical limits. To achieve high computational efficiency and sufficient accuracy, the optimization problem is solved by iterative convex quadratic programming and quasilinearization. The advantages of the proposed control method on both fuel economy and engine thermal management are demonstrated by simulations.

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Section: B Boundary Constraints On Torquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuel Minimization of the Electric Engine Cooling System With Active Grille Shutter by Iterative Quadratic Programming

Feng

Wikander

2020

IEEE Trans. Veh. Technol.

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“…This AGS airflow cooling comes at a cost. Shigarkanthi et al [18] demonstrated that, as the AGS is opened, the drag force of the underhood vehicle airflow increases due to an increase in drag coefficient, concluding that the AGS has an impact on the fuel economy and power consumption of the vehicle. By controlling the condenser fan and AGS along with the compressor, it is expected that the energy used by the system can be further reduced but the cost of increased underhood drag must be considered.…”

Section: Introductionmentioning

confidence: 99%

Controller Design for Air Conditioner of a Vehicle with Three Control Inputs Using Model Predictive Control

Parent,

Defoe,

Rahimi

2024

Modelling

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Fuel consumption optimization is a critical field of research within the automotive industry to meet consumer expectations and regulatory requirements. A reduction in fuel consumption can be achieved by reducing the energy consumed by the vehicle. Several subsystems contribute to the overall energy consumption of the vehicle, including the air conditioning (A/C) system. The loads within the A/C system are mainly contributed by the compressor, condenser fan, and underhood aerodynamic drag, which are the components targeted for overall vehicle energy use reduction in this paper. This paper explores a new avenue for A/C system control by considering the power consumption due to vehicle drag (regulated by the condenser fan and active grille shutters (AGS)) to reduce the energy consumption of the A/C system and improve the overall vehicle fuel economy. The control approach used in this paper is model predictive control (MPC). The controller is designed in Simulink, where the compressor clutch signal, condenser fan speed, and AGS open-fraction are inputs. The controller is connected to a high-fidelity vehicle model in Gamma Technologies (GT)-Suite (which is treated as the real physical vehicle) to form a software-in-the-loop simulation environment, where the controller sends actuator inputs to GT-Suite and the vehicle response is sent back to the controller in Simulink. Quadratic programming is used to solve the MPC optimization problem and determine the optimal input trajectory at each time step. The results indicate that using MPC to control the compressor clutch, condenser fan, and AGS can provide a 37.6% reduction in the overall A/C system energy consumption and a 32.7% reduction in the error for the air temperature reference tracking compared to the conventional baseline proportional integral derivative control present in the GT-Suite model.

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A Joint Control Strategy for Automobile Active Grille Shutter and Cooling Fan

Liu

Zheng-ju

Fan

et al. 2021

Int.J Automot. Technol.

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Application of Design of Experiments and Physics Based Approach in the Development of Aero Shutter Control Algorithm

Cited by 15 publications

References 3 publications

Fuel Minimization of the Electric Engine Cooling System With Active Grille Shutter by Iterative Quadratic Programming

Fuel Minimization of the Electric Engine Cooling System With Active Grille Shutter by Iterative Quadratic Programming

Controller Design for Air Conditioner of a Vehicle with Three Control Inputs Using Model Predictive Control

A Joint Control Strategy for Automobile Active Grille Shutter and Cooling Fan

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