Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-type Estimation

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Sökning: L773:2379 8858 > Smart Traction Cont...

LIBRIS Formathandbok (Information om MARC21)

Fältnamn	Indikatorer	Metadata
000		03137naa a2200337 4500
001		oai:research.chalmers.se:d2979995-7749-4f23-86a0-d81f1db6a62f
003		SwePub
008		190607s2019 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://doi.org/10.1109/TIV.2019.29194612 DOI
024	7	a https://research.chalmers.se/publication/5106542 URI
024	7	a https://research.chalmers.se/publication/5163952 URI
040		a (SwePub)cth
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Dogan, Daghanu Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK),Scientific and Technological Research Council of Turkey (TÜBİTAK),Istanbul Teknik Universitesi (ITÜ),Istanbul Technical University (ITÜ)4 aut
245	1 0	a Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-type Estimation
264	1	c 2019
520		a The application of traction control systems (TCS) for electric vehicles (EV) has great potential due to easy implementation of torque control with direct-drive motors. However, the control system usually requires road-tire friction and slip-ratio values, which must be estimated. While it is not possible to obtain the first one directly, the estimation of latter value requires accurate measurements of chassis and wheel velocity. In addition, existing TCS structures are often designed without considering the robustness and energy efficiency of torque control. In this paper, both problems are addressed with a smart TCS design having an integrated acoustic road-type estimation (ARTE) unit. This unit enables the road-type recognition and this information is used to retrieve the correct look-up table between friction coefficient and slip-ratio. The estimation of the friction coefficient helps the system to update the necessary input torque. The ARTE unit utilizes machine learning, mapping the acoustic feature inputs to road-type as output. In this paper, three existing TCS for EVs are examined with and without the integrated ARTE unit. The results show significant performance improvement with ARTE, reducing the slip ratio by 75% while saving energy via reduction of applied torque and increasing the robustness of the TCS.
650	7	a TEKNIK OCH TEKNOLOGIERx Maskinteknik0 (SwePub)2032 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Mechanical Engineering0 (SwePub)2032 hsv//eng
653		a electric vehicles
653		a acoustic signal processing
653		a Traction control
700	1	a Boyraz Baykas, Pinar,d 1981u Istanbul Teknik Universitesi (ITÜ),Istanbul Technical University (ITÜ),Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)baykas
710	2	a Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK)b Istanbul Teknik Universitesi (ITÜ)4 org
773	0	t IEEE Transactions on Intelligent Vehiclesg 4:3, s. 486-496q 4:3<486-496x 2379-8858
856	4 8	u https://doi.org/10.1109/TIV.2019.2919461
856	4 8	u https://research.chalmers.se/publication/510654
856	4 8	u https://research.chalmers.se/publication/516395

Hitta via bibliotek

IEEE Transactions on Intelligent Vehicles (Sök värdpublikationen i LIBRIS)

Till lärosätets databas

Hitta mer i SwePub

Av författaren/redakt...: Dogan, Daghan; Boyraz Baykas, P ...

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Maskinteknik

Artiklar i publikationen: IEEE Transaction ...

Av lärosätet: Chalmers tekniska högskola

Sök utanför SwePub

Sök vidare i:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se