CN108382334A - A kind of intelligent driving automobile controller structure - Google Patents

A kind of intelligent driving automobile controller structure Download PDF

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Publication number
CN108382334A
CN108382334A CN201810285738.5A CN201810285738A CN108382334A CN 108382334 A CN108382334 A CN 108382334A CN 201810285738 A CN201810285738 A CN 201810285738A CN 108382334 A CN108382334 A CN 108382334A
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CN
China
Prior art keywords
module
intelligent driving
driving automobile
layer
hardware
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810285738.5A
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Chinese (zh)
Inventor
王思山
周海鹰
周奎
龚家元
兰建平
毕栋
朱政泽
程戬
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Hubei University of Automotive Technology
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Hubei University of Automotive Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Hubei University of Automotive Technology filed Critical Hubei University of Automotive Technology
Priority to CN201810285738.5A priority Critical patent/CN108382334A/en
Publication of CN108382334A publication Critical patent/CN108382334A/en
Pending legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/40Bus networks
    • H04L12/40006Architecture of a communication node
    • H04L12/40013Details regarding a bus controller
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/40Bus networks
    • H04L2012/40208Bus networks characterized by the use of a particular bus standard
    • H04L2012/40215Controller Area Network CAN

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  • Engineering & Computer Science (AREA)
  • Small-Scale Networks (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mechanical Engineering (AREA)

Abstract

The invention discloses a kind of intelligent driving automobile controller structures, including hardware layer, system layer and application layer;The hardware layer includes four modules, is the first module, the second module, third module and the 4th module respectively;First module is computing module, for intelligent driving automobile environment sensing with merge, path planning and decision;Second module is MCU module, is used for the control of intelligent driving automobile;Third module is operation monitoring module, is used for the operation monitor and diagnosis of intelligent driving automobile;4th module is Switching Module, and the heterogeneous network for intelligent driving automobile exchanges;The system layer is used to provide software systems and the driving of hardware layer modules;The application layer is for providing various application software APP.Hardware layer, system layer and application layer are separated and are designed respectively, substantially increased the Universal and scalability of controller architecture, decrease cost and the period of secondary development by stratified energy mechanism by the controller architecture.

Description

A kind of intelligent driving automobile controller structure
Technical field
The invention belongs to automobile intelligent driving technology fields, are related to automobile controller, and in particular to a kind of intelligent driving Automobile controller structure.
Background technology
With economic continuous development, people’s lives level is continuously improved, and the use of automobile is more and more common, but therewith And the traffic accident come is also increasing, wherein sizable part is related with fatigue driving.In order to which relieving fatigue drives problem, People begin one's study intelligent driving automobile, it is desirable to be solved people from the post of driving by way of nobody or intelligent driving It takes off.
For intelligent driving automobile, most important part is controller, and controller architecture carries vehicle power The vital tasks such as distribution, energy management, diagnosis and monitoring.Due to the particularity of intelligent driving automobile, controller architecture is usual Including hardware and software part, generally require to carry out special design according to the specific requirement of whole automobile control function.It is fixed in design After type, there are larger limitations, software architecture also to have suitable in terms of portable and scalability for hardware structure The monopoly of degree.Generally, existing controller architecture there are versatility not enough, scalability is not strong the shortcomings of, having Body using when also result in cost increase, the development cycle extend.
Invention content
For the above-mentioned problems in the prior art, the present invention provides a kind of intelligent driving automobile controller structure, Hardware layer, system layer and application layer are separated and are designed respectively, greatly improved by stratified energy mechanism by the controller architecture The Universal and scalability of controller architecture, decreases cost and the period of secondary development.
For this purpose, present invention employs following technical schemes:
A kind of intelligent driving automobile controller structure, including hardware layer, system layer and application layer;The hardware layer includes four A module is the first module, the second module, third module and the 4th module respectively;First module is computing module, is used for The environment sensing of intelligent driving automobile with merge, path planning and decision;Second module is MCU module, is driven for intelligence Sail the control of automobile;The third module is operation monitoring module, is used for the operation monitor and diagnosis of intelligent driving automobile;It is described 4th module is Switching Module, and the heterogeneous network for intelligent driving automobile exchanges;The system layer is each for providing hardware layer The software systems of a module and driving;The application layer is for providing various application software APP.
Preferably, communication uses vehicle-mounted Ethernet, compatible gigabit, 100,000,000 vehicle-mounted Ethernets between the hardware layer modules Network.
Preferably, first module supports AI algorithms, accelerates computing unit with AI algorithms.
Preferably, second module supports AUTOSAR OS systems, hardware security to meet ASIL D.
Preferably, the operation conditions of the third module real-time monitoring intelligent driving controller modules, and carry out intelligence Can drive a car the fault diagnosis of software and hardware system, and hardware security meets ASIL D.
Preferably, the 4th module supports vehicle-mounted Ethernet and bus-type In-vehicle networking, including CAN bus, CAN-FD Bus, LIN buses and Flexray buses, hardware security meet ASIL D.
Preferably, the software systems support RTOS systems, the real-time for enhancing intelligent driving automobile controller.
Preferably, the API when software systems use identical operation, the reliability for enhancing application software and multiplexing Property.
Preferably, the application software APP uses identical API design, and the information communication between APP is using based on multicast Communication mode.
Compared with prior art, the beneficial effects of the invention are as follows:
(1) versatile, scalability is good, can reduce period and the cost of secondary development.
(2) powerful, reliability is high, real-time, and bandwidth is high, meets intelligent driving automobile information using processing and control The needs of system.
(3) easy to operate, using flexible, safety greatly enhances.
Description of the drawings
Fig. 1 is a kind of basic composed structure schematic diagram of intelligent driving automobile controller structure provided by the present invention.
Specific implementation mode
Below in conjunction with the accompanying drawings and specific embodiment come the present invention will be described in detail, specific embodiment therein and explanation only For explaining the present invention, but it is not as a limitation of the invention.
As shown in Figure 1, the invention discloses a kind of intelligent driving automobile controller structure, including hardware layer, system layer and Application layer;The hardware layer includes four modules, is the first module, the second module, third module and the 4th module respectively;It is described First module is computing module, for intelligent driving automobile environment sensing with merge, path planning and decision;Second mould Block is MCU module, is used for the control of intelligent driving automobile;The third module is operation monitoring module, is used for intelligent driving vapour The operation monitor and diagnosis of vehicle;4th module is Switching Module, and the heterogeneous network for intelligent driving automobile exchanges;It is described System layer is used to provide software systems and the driving of hardware layer modules;The application layer is for providing various application software APP。
Specifically, communication uses vehicle-mounted Ethernet, compatible gigabit, 100,000,000 vehicle-mounted Ethernets between the hardware layer modules Network.
Specifically, first module supports AI algorithms, accelerates computing unit with AI algorithms.
Specifically, second module supports AUTOSAR OS systems, hardware security to meet ASIL D.
Specifically, the operation conditions of the third module real-time monitoring intelligent driving controller modules, and carry out intelligence Can drive a car the fault diagnosis of software and hardware system, and hardware security meets ASIL D.
Specifically, the 4th module supports vehicle-mounted Ethernet and bus-type In-vehicle networking, including CAN bus, CAN-FD Bus, LIN buses and Flexray buses, hardware security meet ASIL D.
Specifically, the software systems support RTOS systems, the real-time for enhancing intelligent driving automobile controller.
Specifically, the API when software systems use identical operation, the reliability for enhancing application software and multiplexing Property.
Specifically, the application software APP uses identical API design, and the information communication between APP is using based on multicast Communication mode, to carry out information sharing and software to be gone to couple.
Embodiment
A kind of intelligent driving automobile controller structure, specific composition are as follows:
First module hardware uses the Nvidia Jetson TX2 modules with GPU accelerating modules, operation Ubuntu operations System, RTE use ROS2 systems, and the communication based on vehicle-mounted Ethernet is used with other modules.First module, which is mainly responsible for, to be based on The environment sensing of AI with merge and path planning and decision.
Second module hardware uses NXP MPC5748G modules, runs AUTOSAR OS systems, and RTE uses embedded ROS2 System uses the communication based on vehicle-mounted Ethernet with other modules.Second module is mainly responsible for vehicle lateral control and longitudinal control The generation of algorithm processed and control instruction.
Third module hardware uses NXP S32K148 modules, runs RTOS systems, and RTE uses embedded ROS2 systems, with Other modules use the communication based on vehicle-mounted Ethernet.Third module is mainly responsible for system voltage, system heart-throb packet is safeguarded and inspection It surveys, is responsible for other modules operation detection and hardware reset and restores.
4th module hardware uses NXP MPC5748G and Microchip KSZ8567R modules, operation AUTOSAR OS systems System, RTE use embedded ROS2 systems, and the communication based on vehicle-mounted Ethernet is used with other modules.4th module is mainly responsible for The interface conversion and data of CAN, LIN and Flexray bus to Ethernet parse function.Microchip KSZ8567R chip masters It is responsible for the data exchange of vehicle-mounted Ethernet.
Modules A PP application ROS2 systems API is programmed, using the communication based on vehicle-mounted Ethernet.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to restrict the invention, all essences in the present invention Any modification, equivalent replacement and improvement etc., should be included in protection scope of the present invention made by within refreshing and spirit Within.

Claims (9)

1. a kind of intelligent driving automobile controller structure, including hardware layer, system layer and application layer, it is characterised in that:It is described hard Part layer includes four modules, is the first module, the second module, third module and the 4th module respectively;First module is meter Calculate module, for intelligent driving automobile environment sensing with merge, path planning and decision;Second module is MCU module, Control for intelligent driving automobile;The third module is operation monitoring module, and the operation for intelligent driving automobile monitors With diagnosis;4th module is Switching Module, and the heterogeneous network for intelligent driving automobile exchanges;The system layer is for carrying Software systems for hardware layer modules and driving;The application layer is for providing various application software APP.
2. a kind of intelligent driving automobile controller structure according to claim 1, it is characterised in that:The hardware layer is each Intermodule communication uses vehicle-mounted Ethernet, compatible gigabit, 100,000,000 vehicle-mounted ethernet networks.
3. a kind of intelligent driving automobile controller structure according to claim 1, it is characterised in that:The first module branch AI algorithms are held, accelerate computing unit with AI algorithms.
4. a kind of intelligent driving automobile controller structure according to claim 1, it is characterised in that:The second module branch AUTOSAR OS systems are held, hardware security meets ASIL D.
5. a kind of intelligent driving automobile controller structure according to claim 1, it is characterised in that:The third module is real When monitoring intelligent driving controller modules operation conditions, and the failure for carrying out intelligent driving automobile software and hardware system is examined Disconnected, hardware security meets ASIL D.
6. a kind of intelligent driving automobile controller structure according to claim 1, it is characterised in that:The 4th module branch Hold vehicle-mounted Ethernet and bus-type In-vehicle networking, including CAN bus, CAN-FD buses, LIN buses and Flexray buses, hardware Safety meets ASIL D.
7. a kind of intelligent driving automobile controller structure according to claim 1, it is characterised in that:The software systems branch RTOS systems are held, the real-time for enhancing intelligent driving automobile controller.
8. a kind of intelligent driving automobile controller structure according to claim 7, it is characterised in that:The software systems are adopted With API when identical operation, reliability and durability for enhancing application software.
9. according to a kind of intelligent driving automobile controller structure of claim 1 to 8 any one of them, it is characterised in that:It is described Application software APP uses identical API design, and the information communication between APP uses the communication mode based on multicast.
CN201810285738.5A 2018-04-03 2018-04-03 A kind of intelligent driving automobile controller structure Pending CN108382334A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111483466A (en) * 2019-01-28 2020-08-04 北京新能源汽车股份有限公司 Decision planning control system, method and equipment and automobile
CN111831265A (en) * 2020-07-27 2020-10-27 吉林大学 Method for designing signal processing assembly interface of electric vehicle sensor based on AUTOSAR
CN112968894A (en) * 2021-02-19 2021-06-15 北京物芯科技有限责任公司 Interface conversion device and computing equipment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8718852B2 (en) * 2012-09-14 2014-05-06 Automotive Research & Testing Center Self-learning regenerative braking control module, controller, and vehicle using the same
CN104133473A (en) * 2008-10-24 2014-11-05 格瑞股份公司 Control method of autonomously driven vehicle
CN204287489U (en) * 2014-11-17 2015-04-22 广东好帮手电子科技股份有限公司 A kind of big dipper multi-mode navigation vehicle networked terminals based on SOC
CN105172616A (en) * 2015-04-20 2015-12-23 南京金龙新能源汽车研究院有限公司 Intelligent controller for whole electric car
CN106103232A (en) * 2014-04-09 2016-11-09 日立汽车系统株式会社 Travel controlling system, on-vehicle display and drive-control system
CN104732835B (en) * 2015-02-02 2017-08-01 上海交通大学 A kind of intelligent miniature vehicle instructional device in stadium
CN107024927A (en) * 2016-02-01 2017-08-08 上海无线通信研究中心 A kind of automated driving system and method
CN107521493A (en) * 2017-08-28 2017-12-29 苏州优达斯汽车科技有限公司 A kind of automated parking system
CN107797534A (en) * 2017-09-30 2018-03-13 安徽江淮汽车集团股份有限公司 A kind of pure electronic automated driving system

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104133473A (en) * 2008-10-24 2014-11-05 格瑞股份公司 Control method of autonomously driven vehicle
US8718852B2 (en) * 2012-09-14 2014-05-06 Automotive Research & Testing Center Self-learning regenerative braking control module, controller, and vehicle using the same
CN106103232A (en) * 2014-04-09 2016-11-09 日立汽车系统株式会社 Travel controlling system, on-vehicle display and drive-control system
CN204287489U (en) * 2014-11-17 2015-04-22 广东好帮手电子科技股份有限公司 A kind of big dipper multi-mode navigation vehicle networked terminals based on SOC
CN104732835B (en) * 2015-02-02 2017-08-01 上海交通大学 A kind of intelligent miniature vehicle instructional device in stadium
CN105172616A (en) * 2015-04-20 2015-12-23 南京金龙新能源汽车研究院有限公司 Intelligent controller for whole electric car
CN107024927A (en) * 2016-02-01 2017-08-08 上海无线通信研究中心 A kind of automated driving system and method
CN107521493A (en) * 2017-08-28 2017-12-29 苏州优达斯汽车科技有限公司 A kind of automated parking system
CN107797534A (en) * 2017-09-30 2018-03-13 安徽江淮汽车集团股份有限公司 A kind of pure electronic automated driving system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
晏欣炜等: "《人工智能在汽车自动驾驶系统中的应用分析》", 《湖北汽车工业学院学报》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111483466A (en) * 2019-01-28 2020-08-04 北京新能源汽车股份有限公司 Decision planning control system, method and equipment and automobile
CN111831265A (en) * 2020-07-27 2020-10-27 吉林大学 Method for designing signal processing assembly interface of electric vehicle sensor based on AUTOSAR
CN111831265B (en) * 2020-07-27 2024-02-02 吉林大学 AUTOSAR-based electric vehicle sensor signal processing assembly interface design method
CN112968894A (en) * 2021-02-19 2021-06-15 北京物芯科技有限责任公司 Interface conversion device and computing equipment
CN112968894B (en) * 2021-02-19 2022-08-16 北京物芯科技有限责任公司 Interface conversion device and computing equipment

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Application publication date: 20180810