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Summary & Details

Diagnosis of traction batteries in driving mode Increasing the accuracy of battery state of charge estimation by using a multiple battery concept

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20214336

Paper/Info type: Other International Conferences

No.E3.2

Pages: 1-8(Total 8 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

Event: International Electric Vehicle Technology Conference EVTeC 2021 [Online Meeting]

Detailed Information

Category(E)	Energy Storage Devices & Systems III -Lithium-ion Battery Technologies-
Author(E)	1) Jonas Maier, 2) Dan Keilhoff, 3) Hans-Christian Reuss
Affiliation(E)	1) Research Institute of Automotive Engineering and Vehicle Engines Stuttgart (FKFS), 2) Institute of Automotive Engineering (IFS), 3) Institute of Automotive Engineering (IFS)
Abstract(E)	The dominant technology these days are lithium-ion battery cells. To ensure a long service life, monitoring and diagnosis of the energy storage systems state is essential. This paper presents the currently used algorithms for State-of-Charge estimation and gives an outlook on how to increase the accuracy of the methods by a different hardware concept. The aim of this concept is to improve the safety and lifetime of the traction battery by more accurately predicting its condition.

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