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
USD
171.05
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
YSMO GSO 150-2:2020
GSO 150-2:2013
Yemeni Technical Regulation
Expiration dates for food products - Part 2 :
Voluntary expiration dates
GSO 9:2022
Gulf Technical Regulation
Labeling of prepackaged food stuffs
YSMO GSO 2055-1:2020
GSO 2055-1:2015
Yemeni Standard
HALAL FOOD - Part 1 : General Requirements
Recently Published
ISO/TS 4966:2026
International Standard
Nanotechnologies — Silica nanomaterials — Specification of characteristics and measurement methods for nanoporous silica microparticles applied in liquid chromatography
ISO/TS 44005:2026
International Standard
Collaborative business relationship management system — Guidance on leadership for collaborative working
ISO 10325:2026
International Standard
Fibre ropes — High modulus polyethylene — 8-strand braided ropes, 12-strand braided ropes and covered ropes
ISO/IEC TS 42112:2026
International Standard
Information technology — Artificial intelligence — Guidance on machine learning model training efficiency optimization