| Title: | Adaptive Model of Battery System Behavior for Electromobility |
| Authors: | Šroubová, Lenka Slobodník, Karel Naxer, Ondřej Blohmann, Miroslav |
| Citation: | ŠROUBOVÁ, L. SLOBODNÍK, K. NAXER, O. BLOHMANN, M. Adaptive Model of Battery System Behavior for Electromobility. In Proceedings of the 23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022. Piscataway: IEEE, 2022. s. nestránkováno. ISBN: 979-8-3503-9625-6 |
| Issue Date: | 2022 |
| Publisher: | IEEE |
| Document type: | konferenční příspěvek ConferenceObject |
| URI: | 2-s2.0-85142132732 http://hdl.handle.net/11025/51676 |
| ISBN: | 979-8-3503-9625-6 |
| Keywords in different language: | electromobility;battery system;consumption prediction;remaining range. |
| Abstract in different language: | 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. |
| Rights: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům © IEEE |
| Appears in Collections: | Konferenční příspěvky / Conference papers (RICE) Konferenční příspěvky / Conference Papers (KEP) OBD |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| Adaptive_Model_of_Battery_System_Behavior_for_Electromobility.pdf | 1,37 MB | Adobe PDF | View/Open Request a copy |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/51676Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.