Enabling IEEE 802.15.4-2015 TSCH based Wireless Network for Electric Vehicle Battery Management

被引：0
|
作者：
Le Gall, Guillaume [1 ]
Montavont, Nicolas [1 ]
Papadopoulos, Georgios Z. [1 ]
机构：
[1] IMT Atlantique, Irisa, Rennes, France
来源：
2020 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC) | 2020年
关键词：
Electric Vehicles; Battery Management System; Wireless Sensor Networks; Internet of Things; IEEE Std 802.15.4-2015 TSCH; Linear Programming; STATE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Battery Management System (BMS) of an Electric Vehicle (EV) is a system designed to ensure safe operation of the battery pack, and reporting its state to other systems. It is a complex and distributed system. In today's BMS implementations, the communication is performed through wire buses. In this paper, we study the opportunity to use IEEE Std 802.15.4 Time Slotted Channel Hopping (TSCH), a standardized Internet of Things (IoT) approach. We first describe the real-world experiments we did to measure the link quality at Medium Access Control (MAC) layer for wireless nodes placed inside an EV battery pack. Then, we propose a topology management and TSCH scheduling strategy using Linear Programming, based on the results obtained in the experiments.
引用
收藏
页码：339 / 344
页数：6
相关论文
共 35 条
  • [21] Wireless Sensor Network based Management System for Electric Bicycle-Sharing
    Prist, M.
    Freddi, A.
    Longhi, S.
    Monteriu, A.
    Antonini, P.
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2016,
  • [22] HEAT MANAGEMENT SYSTEM OF ELECTRIC VEHICLE BASED ON HEAT PUMP AND ENERGY RECOVERY OF REMOVABLE BATTERY
    Xue, Yuanfei
    Diao, Xudong
    LI, Xin
    THERMAL SCIENCE, 2023, 27 (2A): : 1215 - 1221
  • [23] A novel intelligent method for fault diagnosis of electric vehicle battery system based on wavelet neural network
    Yao, Lei
    Xiao, Yanqiu
    Gong, Xiaoyun
    Hou, Junjian
    Chen, Xiangtian
    JOURNAL OF POWER SOURCES, 2020, 453
  • [24] Performance optimization of electric vehicle battery thermal management based on the transcritical CO2 system
    Wang, Anci
    Yin, Xiang
    Xin, Zhicheng
    Cao, Feng
    Wu, Zan
    Sunden, Bengt
    Xiao, Di
    ENERGY, 2023, 266
  • [25] Virtual platform evaluation of an optimized electric vehicle energy management network utilizing parallel cell connected battery packs
    Manoharan, Aaruththiran
    Sooriamoorthy, Denesh
    Aparow, Vimal Rau
    Begam, K. M.
    JOURNAL OF ENERGY STORAGE, 2025, 114
  • [26] How Do We Calibrate a Battery Electric Vehicle Model Based on Controller Area Network Bus Data?
    Tollner, David
    Nyerges, Adam
    Jneid, Mahmoud Said
    Geleta, Attila
    Zoldy, Mate
    SENSORS, 2024, 24 (14)
  • [27] DESIGN AND IMPLEMENT OF BATTERY MANAGEMENT SYSTEM USED FOR ELECTRIC VEHICLE BUS BASED ON ARM7 PLATFORM
    Xie, Xing-Kui
    Ou-Yang, Jian
    ENERGY AND MECHANICAL ENGINEERING, 2016, : 141 - 148
  • [28] Deep reinforcement learning based energy management strategy for fuel cell/battery/supercapacitor powered electric vehicle
    Wang, Jie
    Zhou, Jianhao
    Zhao, Wanzhong
    GREEN ENERGY AND INTELLIGENT TRANSPORTATION, 2022, 1 (02):
  • [29] Battery-degradation-involved energy management strategy based on deep reinforcement learning for fuel cell/battery/ultracapacitor hybrid electric vehicle
    Lu, Hongxin
    Tao, Fazhan
    Fu, Zhumu
    Sun, Haochen
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 220
  • [30] A Blockchain-Based Internet of Things (IoT) Network for Security-Enhanced Wireless Battery Management Systems
    Faika, Tasnimun
    Kim, Taesic
    Ochoa, Justin
    Khan, Maleq
    Park, Sung-won
    Leung, Chung S.
    2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2019,
1234