Zusammenfassung
Due to strengthening enforcement of environmental laws and regulations, electrification of the automotive powertrain has been advancing so rapidly that rechargeable batteries used as a source of power are becoming increasingly important. Among them, lithium-ion batteries (LiBs) are expected to evolve at a high rate regarding light weight, high energy density and long lifetime. In order to make the most capacity of lithium-ion batteries in the strict automotive environment, the battery management system (BMS) constantly monitors the state of the batteries, and estimates the state-of- charge (SOC) for avoiding overcharge / overdischarge of the batteries. This paper focuses on the existing methods for estimating SOC from voltage, current and temperature of automotive LiBs, performs comparative evaluation, and proposes a process for SOC estimation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literatur
1. Huang, F.L., Sumida, Y., Nomura, A., Matsumura, H., Kamiya, Y., Daisho, Y., Morita. K., “Analysis of adverse effects on vehicle performance due to hybrid vehicle battery deterioration,” Proceedings of the 26th international electric vehicle symposium (EVS26)
2. Tsuchiya, S., “Integrated Battery Management System Combining Cell Voltage Sensor and Leakage Sensor,” Keihin Technical Review, Vol. 6, pp. 62-67, 2017
3. Tsuchiya, S., Kamata, S., “Battery Voltage Detection Device,” Japan Patent 2016- 194428, November 17, 2016 (Request for Substantive Examination)
4. Charge/Discharge System Controller PFX2512 Catalog (Preliminary), http://www.kikusui.co.jp/catalog/pdf/files/2012/pfx2512.pdf, accessed Nov. 2017
5. Plett, G.L., “Extended Kalman filtering for battery management systems of LiPBbased HEV battery packs — part 1: Background, part 2: Modeling and identification, part 3: Parameter estimation,” Journal of Power Sources 134 (2), 252-292, 2004
6. Adachi, S., Hirota, Y. (Eds.), Osiage, K., Baba, A., Maruta, I., Teruyoshi Mihara, T., “Battery Management Systems Engineering – From Battery Structure to State Estimation,”Tokyo Denki University Press, 2015
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
About this paper
Cite this paper
Huang, F., Murohoshi, M., Ichinose, A., Sui, T. (2018). A comparative evaluation on state of charge estimation methods for Lithium ion batteries of electric vehicles. In: Liebl, J. (eds) Der Antrieb von morgen 2018. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-21419-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-658-21419-7_6
Published:
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-21418-0
Online ISBN: 978-3-658-21419-7
eBook Packages: Computer Science and Engineering (German Language)