Adaptive Model of Battery System Behavior for Electromobility
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43967097" target="_blank" >RIV/49777513:23220/22:43967097 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9919682" target="_blank" >https://ieeexplore.ieee.org/document/9919682</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CPEE56060.2022.9919682" target="_blank" >10.1109/CPEE56060.2022.9919682</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Model of Battery System Behavior for Electromobility
Original language description
The aim of this paper is to optimize comparative value predicting the remaining electric vehicle's range. The paper deals with the mathematical model for a typical battery system used in electro mobility, in accordance with the real operating parameters, actual battery state, track profile, and ambient conditions. Raspberry Pi Pico microcontroller board is used to obtain and process the necessary operational data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022
ISBN
979-8-3503-9625-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Zuberec,Slovenská republika
Event date
Sep 11, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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