Wireless Battery Management System for Military Unmanned Vehicles
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144701" target="_blank" >RIV/00216305:26220/22:PU144701 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Wireless Battery Management System for Military Unmanned Vehicles
Popis výsledku v původním jazyce
This paper introduces a Battery Management System (BMS) for Military Unmanned Vehicles, which uses multi-cell battery packs. The designed BMS is composed of slave modules and a master module. Each slave module is in charge of managing the state of one battery, include flowing current, voltage of battery, voltage of each cell, temperature of battery. From these obtained data, each module can predict the State of Charge (SoC) of connected battery. All slave modules are interconnected to the master module via Wireless Communication Protocol such as Wi-Fi, Bluetooth, or ESP-NOW. The master module will save all the received data to a microSD card, and if required, send these data to a workstation. These data are useful to predict the operation range of the vehicle, which is very important for decision the tactic of using. The designed BMS was verified in various applications in University of Defence in Brno.
Název v anglickém jazyce
Wireless Battery Management System for Military Unmanned Vehicles
Popis výsledku anglicky
This paper introduces a Battery Management System (BMS) for Military Unmanned Vehicles, which uses multi-cell battery packs. The designed BMS is composed of slave modules and a master module. Each slave module is in charge of managing the state of one battery, include flowing current, voltage of battery, voltage of each cell, temperature of battery. From these obtained data, each module can predict the State of Charge (SoC) of connected battery. All slave modules are interconnected to the master module via Wireless Communication Protocol such as Wi-Fi, Bluetooth, or ESP-NOW. The master module will save all the received data to a microSD card, and if required, send these data to a workstation. These data are useful to predict the operation range of the vehicle, which is very important for decision the tactic of using. The designed BMS was verified in various applications in University of Defence in Brno.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers
ISBN
978-80-214-6029-4
ISSN
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e-ISSN
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Počet stran výsledku
5
Strana od-do
202-206
Název nakladatele
Brno University of Technology, Faculty of Electrical Enmgineering and Communication
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
26. 4. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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