一种电动车专家自诊断方法及系统

doi:10.11896/j.issn.1002-137X.2016.6A.006

计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 34-36.doi: 10.11896/j.issn.1002-137X.2016.6A.006

一种电动车专家自诊断方法及系统

章军辉,李庆,陈大鹏

中国科学院微电子研究所北京100029 中科院微电子研究所昆山分所昆山215347,中国科学院微电子研究所北京100029 中科院微电子研究所昆山分所昆山215347,中国科学院微电子研究所北京100029 中科院微电子研究所昆山分所昆山215347

出版日期:2018-12-01 发布日期:2018-12-01
基金资助:
本文受移动物联网关键技术与应用项目(XDA06040300)资助

Implementation Method and System for EV Self-diagnosis

ZHANG Jun-hui, LI Qing and CHEN Da-peng

Online:2018-12-01 Published:2018-12-01

摘要/Abstract

摘要： 跨界与融合,用互联网思维提升传统行业,将会为传统行业开辟新的局面,而未来的汽车将是电子信息、软件主导的新能源智慧车辆。传统的OBD(On-Board Diagnostics)方案仍需要工程师来判断和分析问题,无法满足用户对智能化的需求。本方案借助车联网技术、数据库平台、数据挖掘与分析技术,最终实现了汽车CAN(Controller Area Network)总线故障智能化自诊断,可替代工程师快速定位出问题的根源,极大地减少了人力成本与时间成本。其还可对故障进行统计与归类,为工程师评估节点设备的可靠性、稳定性、抗干扰能力以及设备工作最适宜的环境需求等提供指导依据。基于本方案的产品已被投入到实际的工程应用中。

关键词: 车联网技术,数据挖掘,新能源汽车,人工智能

Abstract: In the future,vehicles will be highly intelligent,informative and automotive green cars.Traditional OBD(On Board Diagnostics) solutions need to be analyzed by engineer themselves,which waste huge manpower and time.Our solution,by means of internet of vehicles technology,database and data mining,finally realizes the intelligent self-diagnosis of vehicle CAN (Controller Area Network).Also it supports statistics and classification,which makes engineers easily evaluate node equipment reliability,stability and anti-interference ability,as well as requirements for most suitable working environment.By the way,the product based on this solution has been put into practical service.

Key words: Internet of vehicles technology,Data mining,Green-car,Artificial intelligence

章军辉,李庆,陈大鹏. 一种电动车专家自诊断方法及系统[J]. 计算机科学, 2016, 43(Z6): 34-36. https://doi.org/10.11896/j.issn.1002-137X.2016.6A.006

ZHANG Jun-hui, LI Qing and CHEN Da-peng. Implementation Method and System for EV Self-diagnosis[J]. Computer Science, 2016, 43(Z6): 34-36. https://doi.org/10.11896/j.issn.1002-137X.2016.6A.006

参考文献

[1] Science.Special Online Collection；Dealing with Data[EB/OL].[2014-03-19].http://www.sciencemag.org/site/special/data
[2] Ng W S,Ooi B C,Tan K L,et al.PeerDB:A P2P-based system for distributed data sharing[C] // Proceedings 19^th International Conference on Data Engineering,2003.IEEE,2003:633-644
[3] Mansour S,Nasser N,Karim L,et al.Wireless sensor network based air quality monitoring system[C]∥2014 International Conference on Computing,Networking and Communication(ICNC).2014:545-550
[4] Big data[EB/OL].[2014-03-19].http://en.wikipe- dia.org /wiki/Big_data
[5] Azarian A,Siadat A.A global modular framework for automotive diagnosis[J].Advanced Engineering Informatics,2012,26(1):131-144
[6] Tian Li-yuan,Qin Gui-he,Zhang Jin-dong.Remote diagnosissystem of vehicle based on telematics[C]∥Computer,Mechatronics,Control and Electronic Engineering(CMCE).2010
[7] Jegadeeshwaran R,Sugumaran V.Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines[J].Mechanical Systems & Signal Processing,2015,2:436-446
[8] Zhang S,Mathew J,Ma L,et al.Best basis-based intelligent machine fault diagnosis[J].Mechanical Systems and Signal Processing,2005,19(2):357-370
[9] Vulturescu B,Trigui R,Lallemand R,et al.Implementation and test of a hybrid storage system on an electric urban bus[J].Transportation Research Part C Energing Technologies,2013,0(30):55-66
[10] Remmlinger J,Buchholz M,Meiler M,et al.State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation[J].Journal of Power Sources, 2011,196(12):5357-5363

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一种电动车专家自诊断方法及系统

Implementation Method and System for EV Self-diagnosis

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