ISO 7176-21:2025
International Standard
Current Edition
·
Approved on
25 April 2025
Wheelchairs — Part 21: Requirements and test methods for electromagnetic compatibility of electrically powered wheelchairs and scooters, and battery chargers
ISO 7176-21:2025 Files
English
22 Pages
Current Edition
BHD
62.77
ISO 7176-21:2025 Scope
This document specifies requirements and test methods for electromagnetic emissions and for electromagnetic immunity of electrically powered wheelchairs and scooters, intended for indoor or outdoor use, or both, by people with disabilities. It is also applicable to manual wheelchairs with an add-on power kit. It is not applicable to vehicles designed to carry more than one person.
This document also specifies requirements and test methods for the electromagnetic compatibility of battery chargers intended for use with electrically powered wheelchairs and scooters.
A reference configuration is specified for adjustable wheelchairs and scooters in order to enable test results to be used for comparison of performance.
Best Sellers
GSO 150-2:2013
Gulf Standard
Expiration dates for food products - Part 2 :
Voluntary expiration dates
BH GSO 150-2:2015
GSO 150-2:2013
Bahraini Standard
Expiration dates for food products - Part 2 :
Voluntary expiration dates
BH GSO 9:2023
GSO 9:2022
Bahraini Technical Regulation
Labeling of prepackaged food stuffs
GSO 9:2022
Gulf Technical Regulation
Labeling of prepackaged food stuffs
Recently Published
ISO 31915-3:2026
International Standard
Aircraft ground support equipment — General requirements — Part 3: Vibration measurement methods and reduction
ISO/IEC 23090-5:2026
International Standard
Information technology — Coded representation of immersive media — Part 5: Visual volumetric video-based coding (V3C) and video-based point cloud compression (V-PCC)
ISO 9241-222:2026
International Standard
Ergonomics of human-system interaction — Part 222: Self-assessment of human-centred design approach
ISO/IEC 6048-2:2026
International Standard
Information technology — JPEG AI learning-based image coding system — Part 2: Profiling