A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model
By Jun Xu, Chunting Chris Mi, Bing-gang Cao, Junyi Cao. 2013
280 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3902a5ef56c94f00cb31e0512419e61dce033c50
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Xiaosong Hu
- Rui Xiong
- Lei Zhang
- Changfu Zou
- Fengchun Sun
- Nicolás Muñoz-Galeano
- Henry O. Sarmiento-Maldonado
- Juan Pablo Rivera-Barrera
In Control and Systems Engineering
In Electrical and Electronic Engineering
- Xiaosong Hu
- Rui Xiong
- Changfu Zou
- Lei Zhang
- Fengchun Sun
- Nicolás Muñoz-Galeano
- Henry O. Sarmiento-Maldonado
- Juan Pablo Rivera-Barrera
Citations in the corpus
- Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus (2018, background): “also been researched for LIBs, exhibiting satisfactory results [31]–[34].”
- SoC Estimation for Lithium-ion Batteries: Review and Future Challenges (2017, methodology): “The works presented in [57],[58] introduce an EIS approach where the Nyquist plot impedance spectra is divided into high, mid, and low frequency sections.”
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles (2018, methodology): “Based on the analysis with the measurements of EIS, [78] proposed an equivalent circuit of the EIM which is presented in Fig.”