Standard No.:	GB/Z 177.7-2026
English Name:	Intelligence grading of artificial intelligence terminal—Part 7: Cockpit
Chinese Name:	人工智能终端智能化分级 第7部分：汽车座舱
Chinese Classification:	L62    Computer equipment
Professional Classification:	GB    National Standard
Source Content Issued by:	SAMR, SAC
Issued on:	2026-04-30
Implemented on:	2026-4-30
Status:	valid
Target Language:	English
File Format:	PDF
Word Count:	17000 words
Translation Price(USD):	510.0
Delivery:	via email in 1~5 business day

GB/Z 177.7-2026 Intelligence grading of artificial intelligence terminal—Part 7: Cockpit English, Anglais, Englisch, Inglés, えいご This is a draft translation for reference among interesting stakeholders. The finalized translation (passing through draft translation, self-check, revision and verification) will be delivered upon being ordered. ICS CCS National Standard of the People's Republic of China ‌GB/Z 177.7-2026 Intelligence grading of artificial intelligence terminal - Part 7: Cockpit 人工智能终端智能化分级 第7部分：汽车座舱 Issue date: 2026-03-31 Implementation date: 2026-10-01 Issued by the General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China the Standardization Administration of the People's Republic of China Contents Foreword Introduction 1 Scope 2 Normative References 3 Terms and Definitions 4 Abbreviations 5 Key Capabilities 5.1 Overview 5.2 Level 1 Response Level 5.3 Level 2 Tool Level 5.4 Level 3 Assistance Level 6 Level Determination Annex A (Informative) Typical Ambient Noise Scenarios Annex B (Informative) Types of Environmental Information Perception Annex C (Informative) Instructions and Intents Annex D (Informative) Typical Usage Scenarios and Test Cases for Artificial Intelligence Vehicle Cockpits Annex E (Informative) Test Methods E.1 General E.2 Level 1 Response Level E.3 Level 2 Tool Level E.4 Level 3 Assistance Level Bibliography Artificial intelligence terminal intelligence classification — Part 7: Vehicle cockpit 1 Scope This document specifies the classification levels and level determination of key intelligence capabilities for vehicle cockpits, and describes the test methods. This document is intended to guide the intelligence upgrade of vehicle cockpits, and also provides a reference for the design, development, application, selection and evaluation of vehicle cockpits. 2 Normative References The following documents are essential for the application of this document. For dated references, only the edition cited applies. For undated references, the latest edition (including any amendments) applies. GB/Z 177.1-2026 Artificial intelligence terminal intelligence classification — Part 1: Reference framework GB/Z 177.2-2026 Artificial intelligence terminal intelligence classification — Part 2: General requirements 3 Terms and Definitions 3.1 artificial intelligence cockpit A mobile space within a vehicle, equipped with software and hardware systems, possessing intelligent capabilities such as humanmachine interaction, connectivity and scenario expansion, providing drivers and passengers with an intelligent, efficient and comprehensive user experience. 4 Abbreviations The following abbreviation applies to this document in addition to those defined in GB/Z 177.1-2026 and GB/Z 177.2-2026. USB: Universal Serial Bus 5 Key Capabilities 5.1 Overview Based on GB/Z 177.2, specific requirements are set for the perception, cognition, execution, memory and learning capabilities of the vehicle cockpit. 5.2 Level 1 Response Level 5.2.1 Perception 5.2.1.1 User information perception It shall have the ability to accept single instructions. In a lownoise environment, the speech word recognition accuracy shall be not less than 90 %. In a highnoise environment, the speech word recognition accuracy shall be not less than 80 %. Parameters for lownoise and highnoise environments are given in Annex A. 5.2.1.2 Device information perception It shall have device information perception capabilities, including: a) The ability to perceive the hardware status of the cockpit terminal, such as the status of cockpit equipment and cockpit settings; b) The ability to perceive the software information of the cockpit terminal, such as the list of installed software information and software status. 5.2.1.3 Environmental information perception It shall have the ability to acquire internal cockpit environmental information via sensors integrated into the cockpit system. The number of types of perceived information shall not be less than 2, such as lighting environment information and temperature information. The types of information are given in Annex B. 5.2.2 Cognition 5.2.2.1 Understanding It shall have understanding capabilities, including: a) The ability to understand a single simple user instruction (instructions are described in Annex C); b) The ability to understand a complex user instruction containing conditions or multiple steps (instructions are described in Annex C). 5.2.2.2 Reasoning No requirements. 5.2.2.3 Planning No requirements. 5.2.3 Execution 5.2.3.1 Tool invocation It shall have tool invocation capabilities, including: a) The ability to invoke deterministic tools to complete cockpit services, such as invoking a map to initiate navigation and other service applications; b) Providing clear feedback from the cockpit when a tool invocation fails, such as providing a voice broadcast reminder when music playback fails. 5.2.3.2 Content generation It shall have the ability to generate Chinese text content for replies, such as basic information question answering. 5.2.3.3 Interconnection and collaboration No requirements. 5.2.3.4 Expression output It shall have the ability to provide feedback to the user on task execution status and results through text output. 5.2.4 Memory 5.2.4.1 Shortterm memory No requirements. 5.2.4.2 Longterm memory No requirements. 5.2.5 Learning 5.2.5.1 Contextual adaptive learning No requirements. 5.2.5.2 Continuous evolutionary learning No requirements. 5.3 Level 2 Tool Level 5.3.1 Perception 5.3.1.1 User information perception It shall have user information perception capabilities, including: a) The ability to accept single instructions, multiple instructions and multiturn instructions. In a lownoise environment, the speech word recognition accuracy shall be not less than 92 %. In a highnoise environment, the speech word recognition accuracy shall be not less than 85 %. Parameters for lownoise and highnoise environments are given in Annex A; b) The ability to perceive at least one type of user biometric characteristic, such as voiceprint, face or fingerprint recognition. The voiceprint recognition false rejection rate shall be not greater than 10 %. The face recognition accuracy shall be not less than 85 %. The fingerprint recognition accuracy shall be not less than 85 %. 5.3.1.2 Device information perception It shall have device information perception capabilities, including: a) The ability to perceive the hardware status of the cockpit terminal, such as the status of cockpit equipment and cockpit settings; b) The ability to perceive the software information of the cockpit terminal, such as the ability to perceive the list of installed software information and software status; c) The ability to perceive information about connected external devices, such as the connection status and operating status of external devices like mobile terminals, USB flash drives and wearable devices. 5.3.1.3 Environmental information perception It shall have environmental information perception capabilities, including: a) The ability to acquire internal cockpit environmental information via sensors integrated into the cockpit system. The number of types of perceived information shall not be less than 2, such as lighting environment information and temperature information. The types of information are given in Annex B; b) The ability to acquire external environmental information perceived by other vehicle controllers or sensors. The number of types of perceived information shall not be less than 3, such as external ambient temperature and humidity information, weather condition