Skip to main content

2023 | OriginalPaper | Buchkapitel

5. SOC Estimation

verfasst von : Shichun Yang, Xinhua Liu, Shen Li, Cheng Zhang

Erschienen in: Advanced Battery Management System for Electric Vehicles

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Battery state of charge (SOC) is the ratio between the battery’s remaining charge and the total charge capacity. The SOC is not directly measurable. It can be calculated under a fixed discharge rate according to the ‘Battery Test Procedure for Electric Vehicle’ by the Advanced Battery Consortium of America.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Deng Z, Yang L, Cai Y et al (2016) Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium ion phosphate battery. Energy 112:469–480CrossRef Deng Z, Yang L, Cai Y et al (2016) Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium ion phosphate battery. Energy 112:469–480CrossRef
Zurück zum Zitat Deng LZ, Wu F, Gao XG, Wu WP (2020) Development of a LiFePO4-based high power lithium secondary battery for HEVs applications. Rare Met 39(12):1457–1463CrossRef Deng LZ, Wu F, Gao XG, Wu WP (2020) Development of a LiFePO4-based high power lithium secondary battery for HEVs applications. Rare Met 39(12):1457–1463CrossRef
Zurück zum Zitat Ji YR, Weng ST, Li XY, Zhang QH, Gu L (2020) Atomic-scale structural evolution of electrode materials in Li-ion batteries: a review. Rare Met 39(3):205–217CrossRef Ji YR, Weng ST, Li XY, Zhang QH, Gu L (2020) Atomic-scale structural evolution of electrode materials in Li-ion batteries: a review. Rare Met 39(3):205–217CrossRef
Zurück zum Zitat Lin C, Yu Q, Xiong R et al (2017) A study on the impact of open circuit voltage tests on state of charge estimation for lithium-ion batteries. Appl Energy 205:892–902CrossRef Lin C, Yu Q, Xiong R et al (2017) A study on the impact of open circuit voltage tests on state of charge estimation for lithium-ion batteries. Appl Energy 205:892–902CrossRef
Zurück zum Zitat Liu S, Jiang J, Shi W, Ma Z, Guo H (2014) State of charge and peak power estimation of NCM/Li4Ti5O12 battery using ic curve for rail tractor application. In: IEEE transportation and electrification conference and Expo, ITEC Asia-Pacific 2014—Conference Proceedings, pp 1–3 Liu S, Jiang J, Shi W, Ma Z, Guo H (2014) State of charge and peak power estimation of NCM/Li4Ti5O12 battery using ic curve for rail tractor application. In: IEEE transportation and electrification conference and Expo, ITEC Asia-Pacific 2014—Conference Proceedings, pp 1–3
Zurück zum Zitat Lu L, Han X, Li J et al (2013) A review on the key issues for lithium-ion battery management in electric vehicles. J Power Sources 226:272–288CrossRef Lu L, Han X, Li J et al (2013) A review on the key issues for lithium-ion battery management in electric vehicles. J Power Sources 226:272–288CrossRef
Zurück zum Zitat Xiong R, Tian J, Shen W, Sun F (2018) A novel fractional order model for state of charge estimation in lithium ion batteries. IEEE Trans Veh Technol 68(5):4130–4139CrossRef Xiong R, Tian J, Shen W, Sun F (2018) A novel fractional order model for state of charge estimation in lithium ion batteries. IEEE Trans Veh Technol 68(5):4130–4139CrossRef
Zurück zum Zitat Xiong R, Cao J, Yu Q et al (2017) Critical review on the battery state of charge estimation methods for electric vehicles. IEEE Access: Practical Innovations, Open Solutions PP(99):1 Xiong R, Cao J, Yu Q et al (2017) Critical review on the battery state of charge estimation methods for electric vehicles. IEEE Access: Practical Innovations, Open Solutions PP(99):1
Zurück zum Zitat Yang R, Xiong R, He H, Mu H, Wang C (2017) A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles. Appl Energy 207:331–340 Yang R, Xiong R, He H, Mu H, Wang C (2017) A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles. Appl Energy 207:331–340
Zurück zum Zitat Zhang C, Wang LY, Li X, Chen W, Yin GG, Jiang J (2015) Robust and adaptive estimation of state of charge for lithium-ion batteries. IEEE Trans Industr Electron 62(8):4948–4957CrossRef Zhang C, Wang LY, Li X, Chen W, Yin GG, Jiang J (2015) Robust and adaptive estimation of state of charge for lithium-ion batteries. IEEE Trans Industr Electron 62(8):4948–4957CrossRef
Metadaten
Titel
SOC Estimation
verfasst von
Shichun Yang
Xinhua Liu
Shen Li
Cheng Zhang
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3490-2_5

    Premium Partner