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- 저자 : Mario Hrgetić (검색결과 3 건)
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Matija Hoić,Mario Hrgetić,Nenad Kranjčević,Milan Kostelac,Joško Deur,Andreas Tissot 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.1
The paper presents design of a disc-on-disc-type CNC (Computer Numerical Control) tribometer aimed at experimental characterization of friction and wear behaviors of automotive dry clutches. The torque or ormal force, slip speed, friction interface temperature, and closing time are accurately controlled during tests by employing rotational- and vertical-axis servodrives and a water-cooling system built in both axes. A compact two-axial piezoelectric torque and force sensor is built in between the vertical-axis spindle and the pressure plate, in order to provide direct measurements of friction torque and normal force. The slip speed is sensed by using an encoder placed at the rotating table that carries the friction plate. The disc temperature is controlled by means of imposing a delay between two consecutive clutch closing cycles, variable cooling pump speed, and a valve that can bypass the coolant flow around the pressure plate. The torque control ystem is realized in a cascade structure including inner normal force and vertical axis speed controllers. The closing time is controlled by means of “electrical inertia” implemented through rotational-axis servomotor torque control. The tribometer performances are demonstrated through a study of dry clutch friction plate wear rate characterization.
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Dual EKF-Based State and Parameter Estimator for a LiFePO4 Battery Cell
Danijel Pavković,Matija Krznar,Ante Komljenović,Mario Hrgetić,Davor Zorc 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.2
This work presents the design of a dual extended Kalman filter (EKF) as a state/parameter estimator suitable for adaptive state-of-charge (SoC) estimation of an automotive lithium–iron–phosphate (LiFePO4) cell. The design of both estimators is based on an experimentally identified, lumped-parameter equivalent battery electrical circuit model. In the proposed estimation scheme, the parameter estimator has been used to adapt the SoC EKF-based estimator, which may be sensitive to nonlinear map errors of battery parameters. A suitable weighting scheme has also been proposed to achieve a smooth transition between the parameter estimator-based adaptation and internal model within the SoC estimator. The effectiveness of the proposed SoC and parameter estimators, as well as the combined dual estimator, has been verified through computer simulations on the developed battery model subject to New European Driving Cycle (NEDC) related operating regimes.
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Dual EKF-Based State and Parameter Estimator for a LiFePO₄ Battery Cell
Danijel Pavkovi?,Matija Krznar,Ante Komljenovi?,Mario Hrgeti?,Davor Zorc 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.2
This work presents the design of a dual extended Kalman filter (EKF) as a state/parameter estimator suitable for adaptive state-of-charge (SoC) estimation of an automotive lithium–iron–phosphate (LiFePO₄) cell. The design of both estimators is based on an experimentally identified, lumped-parameter equivalent battery electrical circuit model. In the proposed estimation scheme, the parameter estimator has been used to adapt the SoC EKF-based estimator, which may be sensitive to nonlinear map errors of battery parameters. A suitable weighting scheme has also been proposed to achieve a smooth transition between the parameter estimator-based adaptation and internal model within the SoC estimator. The effectiveness of the proposed SoC and parameter estimators, as well as the combined dual estimator, has been verified through computer simulations on the developed battery model subject to New European Driving Cycle (NEDC) related operating regimes.
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