By Topic

A Scroll Compressor With a High-Performance Sensorless Induction Motor Drive for the Air Management of a PEMFC System for Automotive Applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Benjamin Blunier ; Univ. de Technol. de Belfort-Montbeliard (UTBM), Belfort ; Marcello Pucci ; Giansalvo Cirrincione ; Maurizio Cirrincione
more authors

This paper presents a hardware-in-the-loop experimental rig for testing a proton exchange membrane fuel cell (PEMFC) driving an electrical vehicle. The PEMFC includes an air-management system with a scroll compressor driven by a high-performance sensorless induction motor drive. The sensorless technique is based on a neural-network-based speed observer, i.e., the total least-squares EXIN full-order observer. The whole system is driven by a classic European Driving Cycle (EEC Directive 90/C81/01). An experimental rig has been built to test the system. The torque-speed characteristics of a real scroll compressor have first been measured. Then, these characteristics have been emulated by a brushless interior-mounted permanent-magnet machine controlled in torque. This emulated scroll compressor has been driven by a sensorless field-oriented controlled induction motor drive. The experimental results show that the system attains a global efficiency of about 50% and that the speed estimation accuracy is high at both very low and very high speeds with a stable behavior at zero speed at no load, which is particularly difficult to achieve for model-based sensorless techniques.

Published in:

IEEE Transactions on Vehicular Technology  (Volume:57 ,  Issue: 6 )