基于SAE J1939的商用车智能车载终端系统设计
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湖北省自然科学基金指导性计划项目


SAE J1939 based intelligent terminal system design for commercial vehicles
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    摘要:

    商用车承载了物流、货运、通勤等大量工作,商用车大发展的同时也带来了道路拥挤、环境污染等问题。对商用车的安全、尾气排放的实时远程监控,乃至智能网联商用车系统已成为商用车运营和监管部门的迫切需求。本文设计了一种基于SAE J1939的商用车智能车载终端系统,介绍了SAE J1939的报文格式,采用基于Cortex-M3内核的32位低功耗微控制器STM32F103C8T6为主控芯片,利用商用车CAN总线和各种传感器实现对车辆信息的采集与处理。并通过GPRS无线通信实现智能车载终端与云端服务器之间的信息交互,根据用户需求实时获取车辆行驶速度、车辆油箱剩余燃料量、汽车当前GPS位置等信息。此终端具有实时性好、准确性强等特点,解决了传统车辆诊断需要专业技师和专用设备才能读取车载信息的局限性,提高了车辆故障信息诊断的效率,构建了商用车远程智能诊断能力。

    Abstract:

    Commercial vehicles carry a lot of work such as logistics, freight, commuting and so on. The rapid development of commercial vehicles also brings problems such as road congestion and environmental pollution. The real-time remote monitoring of vehicle safety and exhaust emissions, as well as the intelligent network connection system for commercial vehicles, has become an urgent demand for commercial vehicle regulatory authorities. This paper designs a commercial vehicle intelligent terminal system based on SAE J1939, and introduces the frame format of SAE J1939. The system adopts 32-bit low-power microcontroller STM32F103C8T6 based on Cortex-M3 core as the main control chip, which uses commercial vehicle CAN (Controller Area Network) bus and various sensors to realize vehicle information collection and processing. It realizes the information interaction between the intelligent terminal and the cloud server through GPRS wireless communication. According to the user’s demand, the obtained information includes the vehicle speed, the remaining fuel amount of the vehicle fuel tank, the current GPS (Global Positioning System) position, and etc. The proposed system has the advantages in real-time and accuracy, which solves the limitation that the traditional OBD (On Board Diagnostics) vehicle diagnosis requires professional technicians and special equipment to read the vehicle information, and has built the ability of the remote diagnose system for commercial vehicles.

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董小辉,胡锦波,黄浩,胡永明,顾豪爽.基于SAE J1939的商用车智能车载终端系统设计计算机测量与控制[J].,2019,27(7):209-213.

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  • 收稿日期:2019-01-08
  • 最后修改日期:2019-01-29
  • 录用日期:2019-01-30
  • 在线发布日期: 2019-07-30
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