| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Freschi, Fabio
in Cooperation with on an Cooperation-Score of 37%
Topics
- electric vehicle
- guideline
- modeling
- computer science
- road
- Statistic
- mechanical engineering
- behavior
- design
- concrete
- attention
- costs
- fee
- engineering
- flexibility
- prototype
- safety
- assessment
- human being
- performance evaluation
- automobile
- variable
- physics
- optimisation
- acceleration
- employed
- temperature
- tire
- vibration
- electric power supply
- positioning
- sensor
- pressure
- constraint
- bottleneck
- wire
- inductive interference
- magnet
- driving
- show 9 more
Publications (11/11 displayed)
- 2019Metrology for Inductive Charging of Electric Vehicles (MICEV)citations
- 2019Challenges in the Electromagnetic Modeling of Road Embedded Wireless Power Transfercitations
- 2018Scaling Rules at Constant Frequency for Resonant Inductive Power Transfer Systems for Electric Vehiclescitations
- 2018Inductive Power Transfer for Automotive Applications: State-of-the-Art and Future Trendscitations
- 2018Electrical Safety of Plug-In Electric Vehicles: Shielding the Public from Shockcitations
- 2017Human Exposure Assessment in Dynamic Inductive Power Transfer for Automotive Applicationscitations
- 2016Human exposure assessment in dynamic inductive power transfer for automotive applications
- 2015Performance evaluation of wireless power transfer systems for electric vehicles using the opposition methodcitations
- 2014Multi-physics optimisation of an energy harvester device for automotive applicationcitations
- 2014Wireless power transfer structure design for electric vehicle in charge while drivingcitations
- 2011Electromechanical energy scavenger for automotive tirescitations
Places of action
article
Multi-physics optimisation of an energy harvester device for automotive application
Abstract
Purpose - Supplying remote wireless sensors is not an easy task if the site where the device is located is not easily accessible. In order to obtain direct measurements of the road-vehicle interactions, sensors must be placed inside the tyre environment thus a power supply must be available for their working there without any wire connection with the car main power. The paper aims to discuss these issues. Design/methodology/approach - An electro-mechanical energy harvester has thus been developed for supplying an automotive wireless sensor of pressure, temperature and acceleration to be placed on the inner line of a tyre. The primary energy source is the vibrations or variable accelerations imposed to the device and induced in the tyre by the wheeling. Findings - The harvester has been designed by means of a multi-physics optimisation based on an integrated electromagnetic-mechanical circuit simulator. Thus an automated optimisation of the device with respect to volume constraints, magnets dimensions, induction coils placement and size have been performed to increase the average power extracted from the device at different wheeling speeds. Originality/value - The use of the multi-physics environment together with automated optimisation technique has been tested for the first time on the electromagnetic harvester structure.
Topics
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