Fordonsteknik

This International Standard specifies methods for comparing computer simulation results, generated from a vehicle mathematical model, with measured test data obtained according to ISO 13674-1. The purpose of this comparison is to validate the simulation tool's accuracy in predicting vehicle behavior for this specific test, enabling its application to vehicle variants.

It is applicable to passenger cars as defined in ISO 3833.

This document specifies a classification framework and terminology of simulation models for perception sensors in Advanced Driver Assistance Systems and Automated Driving (ADAS/AD) use cases. It builds upon the overall framework defined in ISO 11010-1 , which is applicable to vehicle dynamic models.

This document focuses on perception sensor models for radar, camera, lidar and ultrasonic.

This document enables a structured approach for perception sensor model selection and provides a foundation for consistent sensor model comparison. The model classification is based on the modeling approach of the sensor model and its environment as well as the necessary inputs and outputs of the model.

This document specifies a framework for the generation process of tyre model parameter sets, including a classification of the data sources and methods used.

This document focuses on the process of generating the tyre model parameter sets covering the definition of required input data for certain standard applications.

This document enables a structured exchange between tyre model users and tyre model providers by defining a fitting report for the tyre model parameter set. The exchanged information shall ensure that the tyre model parameter sets are suitable for the intended range of applications, and enable the model providers to ensure that all relevant model features are parameterized for the intended operating conditions and based on suitable input data by increasing transparency and traceability.

ISO 11452-11:2010 specifies a reverberation chamber method for testing the immunity (off-vehicle radiation source) of electronic components for passenger cars and commercial vehicles, regardless of the propulsion system (i.e. spark-ignition engine, diesel engine, electric motor). The device under test (DUT), together with the wiring harness (prototype or standard test harness), is subjected to an electromagnetic disturbance generated inside the reverberation chamber, with peripheral devices either inside or outside the chamber. It is applicable to disturbances from continuous narrowband electromagnetic fields.

The test is performed using the tuned mode method.

This document specifies accessibility requirements and recommendations for accessible charging stations for electric road vehicles, following a “Design for All”/“Universal Design” approach. This document applies to the charging infrastructure for M1 electric vehicles, which are used for the carriage of passengers and are equipped with at least four wheels and comprising not more than eight seats in addition to the driver's seat, and for N1 electric vehicles, which are used for the carriage of goods and having a maximum mass not exceeding 3,5 tonnes. This document sets out requirements and recommendations designed to ensure that the charging infrastructure is accessible and usable for all drivers, including those with specific mobility needs. Autonomous driving vehicles are excluded from the scope of this document. This document is applicable to charging infrastructures, whether public or private, intended for electric vehicle charging. While it primarily addresses requirements and recommendations for conductive charging, wireless/inductive charging is also considered where relevant. This document covers: — the built environment surrounding electric vehicle charging stations, including its location, identification, signage and information; — the built environment close to the electric vehicle to enable the charging process; — factors to be taken into account in the design and specification of electric vehicle supply equipment; — the platform and applications to enable the type of charging and payment, when relevant; — other possible basic services associated with the charging process: pedestrian connection, associated toilets, etc. This document does not cover: — electric vehicles categories other than M1 and N1, although its users could also benefit from the requirements given in this document; — specific materials used within an electric vehicle supply equipment; — definition of charging rates or charging prices; — user personal safety and protection; — grid connections for electric vehicle charging stations; — parking policy and planning policy related to designated accessible parking spaces or electric vehicle charging. NOTE Some of the requirements given in this document might not be applicable to private infrastructures (e.g. the ones related to the payment system).

This document defines the design, safety and operation characteristics of gaseous hydrogen land vehicle (GHLV) refuelling connectors having flow capacities greater than 120 g/s. GHLV refuelling connectors consist of the following components, as applicable: — receptacle and protective cap (mounted on vehicle); — nozzle; — communication hardware. This document is applicable to refuelling connectors which have nominal working pressures or hydrogen service levels up to 70 MPa. This document is not applicable to refuelling connectors dispensing blends of hydrogen with natural gas.

This standard applies to lidars installed on road vehicles to measure or detect the surroundings of the vehicle. This standard applies to lidars used on all types of road vehicles regardless of vehicle classifications, including passenger cars, buses, commercial vehicles, trailers, etc. This standard describes a series of test methods to assist in evaluating the performance of lidars. The tests should cover the following: 1. The common performance specifications (e.g. Range capability, Range precision). 2. The common performance characteristics (e.g. Anti-interference, Ghost points). 3. Possible alteration of performance test caused by environmental conditions. 4. Lidar performance for the union of both ADAS/AD application scenarios. This standard does not address test methods for reliability, functional safety, and cybersecurity. Note: The definition of “Road Vehicles” includes M1~M3, N1~N3, and L6~L7 according to consolidated resolution on the construction of vehicles (R.E.3).

This standard applies to lidars installed on road vehicles to measure or detect the surroundings of the vehicle. This standard applies to lidars used on all types of road vehicles regardless of vehicle classifications, including passenger cars, buses, commercial vehicles, trailers, etc. This standard describes a series of test methods to assist in evaluating the performance of lidars. The tests should cover the following: 1. The common performance specifications (e.g. Range capability, Range precision). 2. The common performance characteristics (e.g. Anti-interference, Ghost points). 3. Possible alteration of performance test caused by environmental conditions. 4. Lidar performance for the union of both ADAS/AD application scenarios. This standard does not address test methods for reliability, functional safety, and cybersecurity. Note: The definition of “Road Vehicles” includes M1~M3, N1~N3, and L6~L7 according to consolidated resolution on the construction of vehicles (R.E.3).

This document specifies a classification framework and terminology of simulation models for perception sensors in Advanced Driver Assistance Systems and Automated Driving (ADAS/AD) use cases. It builds upon the overall framework defined in ISO 11010-1 , which is applicable to vehicle dynamic models.

This document focuses on perception sensor models for radar, camera, lidar and ultrasonic.

This document enables a structured approach for perception sensor model selection and provides a foundation for consistent sensor model comparison. The model classification is based on the modeling approach of the sensor model and its environment as well as the necessary inputs and outputs of the model.