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Electric vehicle regional management system based on the BSP model and multi-information fusion

التفاصيل البيبلوغرافية
العنوان: Electric vehicle regional management system based on the BSP model and multi-information fusion
المؤلفون: Zhihui Zeng, Xintong Sun
المصدر: Systems Science & Control Engineering, Vol 9, Iss S1, Pp 114-121 (2021)
بيانات النشر: Taylor & Francis Group, 2021.
سنة النشر: 2021
المجموعة: LCC:Systems engineering
مصطلحات موضوعية: mistake touch, detection, zigbee networking, bsp model, multi-information fusion, regional management, Control engineering systems. Automatic machinery (General), TJ212-225, Systems engineering, TA168
الوصف: Aiming at the problem of most electric vehicles (EV) sounding false alarms due to touches, an EV alarm regionalization management control system based on multi-information fusion and the BSP model is designed in the present study. The proposed system uses multiple sensors to detect the state of the EV, and realizes multi-sensor information fusion by the Lagrange interpolation method. The ZigBee networking technology is used to carry out the regional management of EV alarms, establish a BSP model, realize the synchronous transmission of system status detection signals, and finally complete the alarm function. The experimental results show that the false alarm rate of traditional EV alarm systems is about 85.5%, that of alarm systems that perform state monitoring without information fusion is about 11.3%, and that of the proposed alarm system that performs multi-information fusion simultaneously is greatly reduced to about 0.5%.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2164-2583
21642583
Relation: https://doaj.org/toc/2164-2583
DOI: 10.1080/21642583.2020.1822947
URL الوصول: https://doaj.org/article/8815db00f8dd4a9f8b8be34ba5ac696d
رقم الأكسشن: edsdoj.8815db00f8dd4a9f8b8be34ba5ac696d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21642583
DOI:10.1080/21642583.2020.1822947