Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination
By W. Waag, Dirk Uwe Sauer. 2013
208 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/64ef44bb4ea19d10e89aba2dcf9c87718f93191d
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
- Xuning Feng
- Minggao Ouyang
- Languang Lu
- Jianqiu Li
- Saad Mekhilef
- Moh Yamani Idna Idris
- Prashant Shrivastava
- Tey Kok Soon
In Electrical and Electronic Engineering
- Xuning Feng
- Minggao Ouyang
- Languang Lu
- Jianqiu Li
- Tey Kok Soon
- Saad Mekhilef
- Moh Yamani Idna Idris
- Prashant Shrivastava
Citations in the corpus
- A review on research status and key technologies of battery thermal management and its enhanced safety (2018, background): “To avoid the continuous exothermic reactions resulting in catastrophic failure such as fires and explosions, it is expected to prevent thermal hazard by using the additional external intervention including pressure relief vents,(105) positive temperature coefficient devices,(106) and current interru”
- A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems (2015, background): “The initialization error can be solved by having knowledge of the relation between SOC and the open circuit voltage (OCV) that can be obtained by characterization measurements [3–5] or by OCV estimation algorithms [6].”
- Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, background): “In previous years, various modified OCVMs have been proposed in the literature to improve accuracy and processing time [75,76].”
- A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery (2016, methodology): “Reference [15] proposed an alternative adaptive OCV estimation method based on battery diffusion principles.”
- The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles (2018, background): “One of the voltage-based approaches is to estimate the capacity of the battery using the SOC variation and the accumulated charge in a certain period of time [20], [21].”