The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Daniel Lechner - One of the best experts on this subject based on the ideXlab platform.

  • Embedded unknown input sliding mode observer to estimate the vehicle roll and road bank angles experimental evaluation
    Intelligent Autonomous Vehicles, 2010
    Co-Authors: Lghani Menhour, Daniel Lechner
    Abstract:

    Abstract Driving safely can be achieved by better understanding critical situations. This can be achieved by a good knowledge of road attributes and vehicle dynamic parameters. Road bank angle has an important role on the vehicle lateral dynamic; unfortunately, this parameter is not measured by low cost Embedded Sensor. This paper presents a new estimation process which was designed to estimate the lateral wind force, the road bank and vehicle roll angles using an unknown input sliding mode observer and a linear vehicle model with variant parameters. The vehicle model used here is relatively simple, but it offers a sufficient approximation of the lateral dynamics of the vehicle in normal driving situations. This observer uses the Sensor measurements such as the steering angle, the vehicle sideslip angle, the roll rate and the yaw rate. Experimental evaluation proves that the estimation scheme is giving appropriate estimation of the vehicle roll and road bank angles. These tests are carried out using the data acquired on the laboratory vehicle Peugeot 307 developed by INRETS-MA.

  • Embedded unknown input sliding mode observer to estimate the vehicle roll and road bank angles experimental evaluation
    Intelligent Autonomous Vehicles, 2010
    Co-Authors: Lghani Menhour, Daniel Lechner
    Abstract:

    Abstract Driving safely can be achieved by better understanding critical situations. This can be achieved by a good knowledge of road attributes and vehicle dynamic parameters. Road bank angle has an important role on the vehicle lateral dynamic; unfortunately, this parameter is not measured by low cost Embedded Sensor. This paper presents a new estimation process which was designed to estimate the lateral wind force, the road bank and vehicle roll angles using an unknown input sliding mode observer and a linear vehicle model with variant parameters. The vehicle model used here is relatively simple, but it offers a sufficient approximation of the lateral dynamics of the vehicle in normal driving situations. This observer uses the Sensor measurements such as the steering angle, the vehicle sideslip angle, the roll rate and the yaw rate. Experimental evaluation proves that the estimation scheme is giving appropriate estimation of the vehicle roll and road bank angles. These tests are carried out using the data acquired on the laboratory vehicle Peugeot 307 developed by INRETS-MA.

Lghani Menhour - One of the best experts on this subject based on the ideXlab platform.

  • Embedded unknown input sliding mode observer to estimate the vehicle roll and road bank angles experimental evaluation
    Intelligent Autonomous Vehicles, 2010
    Co-Authors: Lghani Menhour, Daniel Lechner
    Abstract:

    Abstract Driving safely can be achieved by better understanding critical situations. This can be achieved by a good knowledge of road attributes and vehicle dynamic parameters. Road bank angle has an important role on the vehicle lateral dynamic; unfortunately, this parameter is not measured by low cost Embedded Sensor. This paper presents a new estimation process which was designed to estimate the lateral wind force, the road bank and vehicle roll angles using an unknown input sliding mode observer and a linear vehicle model with variant parameters. The vehicle model used here is relatively simple, but it offers a sufficient approximation of the lateral dynamics of the vehicle in normal driving situations. This observer uses the Sensor measurements such as the steering angle, the vehicle sideslip angle, the roll rate and the yaw rate. Experimental evaluation proves that the estimation scheme is giving appropriate estimation of the vehicle roll and road bank angles. These tests are carried out using the data acquired on the laboratory vehicle Peugeot 307 developed by INRETS-MA.

  • Embedded unknown input sliding mode observer to estimate the vehicle roll and road bank angles experimental evaluation
    Intelligent Autonomous Vehicles, 2010
    Co-Authors: Lghani Menhour, Daniel Lechner
    Abstract:

    Abstract Driving safely can be achieved by better understanding critical situations. This can be achieved by a good knowledge of road attributes and vehicle dynamic parameters. Road bank angle has an important role on the vehicle lateral dynamic; unfortunately, this parameter is not measured by low cost Embedded Sensor. This paper presents a new estimation process which was designed to estimate the lateral wind force, the road bank and vehicle roll angles using an unknown input sliding mode observer and a linear vehicle model with variant parameters. The vehicle model used here is relatively simple, but it offers a sufficient approximation of the lateral dynamics of the vehicle in normal driving situations. This observer uses the Sensor measurements such as the steering angle, the vehicle sideslip angle, the roll rate and the yaw rate. Experimental evaluation proves that the estimation scheme is giving appropriate estimation of the vehicle roll and road bank angles. These tests are carried out using the data acquired on the laboratory vehicle Peugeot 307 developed by INRETS-MA.

Joris Degrieck - One of the best experts on this subject based on the ideXlab platform.

  • multi axial strain transfer from laminated cfrp composites to Embedded bragg Sensor ii experimental validation
    Smart Materials and Structures, 2010
    Co-Authors: Eli Voet, Geert Luyckx, W De Waele, Joris Degrieck
    Abstract:

    Embedded optical fibre Sensors are considered in numerous applications for structural health monitoring purposes. Since the optical fibre and the host material in which it is Embedded have different material properties, the strain in both materials will not be equal when external load is applied. Therefore, the strain transfer from the host material to the Embedded Sensor (optical fibre) was studied in more detail in the first part of the paper. This second part presents an experimental evaluation of the response of uni-axial fibre Bragg grating Sensors Embedded in small cross-ply composite laminates subjected to out-of-plane transverse loading. This loading case induces high birefringence effects in the core of the optical fibre. Using the numerically determined strain transfer coefficients (Luyckx et al 2010 Smart. Mater. Struct. 19 105017) together with multi-axial strain formulations, the authors were able to measure with reasonable accuracy the total strain field inside a carbon fibre reinforced plastic specimen.

  • multi axial strain transfer from laminated cfrp composites to Embedded bragg Sensor i parametric study
    Smart Materials and Structures, 2010
    Co-Authors: Geert Luyckx, Eli Voet, W De Waele, Joris Degrieck
    Abstract:

    Embedded optical fibre Sensors are considered in numerous applications for structural health monitoring purposes. However, since the optical fibre and the host material in which it is Embedded, will have different material properties, strain in both materials will not be equal when load is applied. Therefore, the multi-axial strain transfer from the host material to the Embedded Sensor (optical fibre) has to be considered in detail. In the first part of this paper the strain transfer will be determined using finite element modelling of a circular isotropic glass fibre Embedded first in an isotropic host and second in an anisotropic composite material. The strain transfer or relation depends on the mechanical properties of the host material and the Sensor (Young's modulus and Poisson's ratio), on the lay-up of the composite material (uni-directional lay-up/cross-ply lay-up) and the position of the Sensor in a certain layer. In the second part of the paper the developed strain transfer model will be evaluated for one specific lay-up and Sensor type.

Geert Luyckx - One of the best experts on this subject based on the ideXlab platform.

  • multi axial strain transfer from laminated cfrp composites to Embedded bragg Sensor ii experimental validation
    Smart Materials and Structures, 2010
    Co-Authors: Eli Voet, Geert Luyckx, W De Waele, Joris Degrieck
    Abstract:

    Embedded optical fibre Sensors are considered in numerous applications for structural health monitoring purposes. Since the optical fibre and the host material in which it is Embedded have different material properties, the strain in both materials will not be equal when external load is applied. Therefore, the strain transfer from the host material to the Embedded Sensor (optical fibre) was studied in more detail in the first part of the paper. This second part presents an experimental evaluation of the response of uni-axial fibre Bragg grating Sensors Embedded in small cross-ply composite laminates subjected to out-of-plane transverse loading. This loading case induces high birefringence effects in the core of the optical fibre. Using the numerically determined strain transfer coefficients (Luyckx et al 2010 Smart. Mater. Struct. 19 105017) together with multi-axial strain formulations, the authors were able to measure with reasonable accuracy the total strain field inside a carbon fibre reinforced plastic specimen.

  • multi axial strain transfer from laminated cfrp composites to Embedded bragg Sensor i parametric study
    Smart Materials and Structures, 2010
    Co-Authors: Geert Luyckx, Eli Voet, W De Waele, Joris Degrieck
    Abstract:

    Embedded optical fibre Sensors are considered in numerous applications for structural health monitoring purposes. However, since the optical fibre and the host material in which it is Embedded, will have different material properties, strain in both materials will not be equal when load is applied. Therefore, the multi-axial strain transfer from the host material to the Embedded Sensor (optical fibre) has to be considered in detail. In the first part of this paper the strain transfer will be determined using finite element modelling of a circular isotropic glass fibre Embedded first in an isotropic host and second in an anisotropic composite material. The strain transfer or relation depends on the mechanical properties of the host material and the Sensor (Young's modulus and Poisson's ratio), on the lay-up of the composite material (uni-directional lay-up/cross-ply lay-up) and the position of the Sensor in a certain layer. In the second part of the paper the developed strain transfer model will be evaluated for one specific lay-up and Sensor type.

Daining Fang - One of the best experts on this subject based on the ideXlab platform.

  • real time monitoring of internal temperature evolution of the lithium ion coin cell battery during the charge and discharge process
    Extreme Mechanics Letters, 2016
    Co-Authors: Panding Wang, Xinyi Zhang, Le Yang, Xingyu Zhang, Meng Yang, Haosen Chen, Daining Fang
    Abstract:

    Abstract The internal temperature is the most effective parameter to determine whether the battery is entering the danger zone. However, it is also the most difficult to be monitored in real time. This paper focuses on the real-time monitor of internal temperature evolution of the lithium-ion coin cell battery during charge and discharge. First, the experimental set-up is introduced, which consists of four parts: the Embedded Sensor, incubator, data transmission and collection. This shows that the internal temperatures rise rapidly at the end of the discharge process while the difference between internal temperature and surface temperature is insignificant during the 0.5 C rate charge process. With the increasing C-rate, the heat generation rate increases correspondingly. Secondly, the influence of the Embedded Sensor on electrochemical performance is evaluated at different C-rates. It is found that the capacity difference is about 8.28% for the 0.1 C-rate charge process between the cases with and without the Embedded Sensor. With the increase of the charge rate, the capacity difference becomes larger and even approached 50% under 2 C-rate. Finally, a novel thermal model is developed to determine the heat transfer parameters for the coin cell based on the monitoring data. The heat flow during 1 C and 2 C discharge tests is calculated by the thermal model and temperature curves, which has the same tendency with the experimental results using the micro-calorimeter technique.