Experiment-driven electrochemical modeling and systematic parameterization for a lithium-ion battery cell
By A. Schmidt, M. Bitzer, A. Imre, Lino Guzzella. 2010
255 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e8235cc2b948e82903c098f72391ae9a70c78af5
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
- Scott Jason Moura
- Rui Xiong
- Miroslav Krstic
- Fengchun Sun
- Hongwen He
- Anahita Mirtabatabaei
- Federico Bribiesca Argomedo
- Reinhardt Klein
In Electrical and Electronic Engineering
- Scott Jason Moura
- Rui Xiong
- Miroslav Krstic
- Fengchun Sun
- Hongwen He
- Anahita Mirtabatabaei
- Federico Bribiesca Argomedo
- Reinhardt Klein
Citations in the corpus
- Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring (2013, background): “[15], [16], [17], but this paper is among the first ones to adaptively monitor the temperatures (especially the core temperature) of batteries and SOH from a thermal perspective.”
- Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles (2012, background): “Such observers are already available [10] and [27].”
- Battery State Estimation for a Single Particle Model With Electrolyte Dynamics (2017, methodology): “Electrochemical model parameter sensitivity is also examined in [33] and [34] via Fisher information.”
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles (2018, methodology): “More specifically, the electrochemical model has capability to describe the macroscopic quantities such as cell current and voltage and local distribution on a microscopic scale for cell concentration, potential, current, and temperature [31], [32].”