Control oriented 1D electrochemical model of lithium ion battery
By Kandler A. Smith, Christopher D. Rahn, Chaoyang Wang. 2007
439 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3eaeddba3db9646a92fac04d7fd3de404887192a
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
- Christopher D. Rahn
- Chaoyang Wang
- Rui Xiong
- Kandler A. Smith
- Fengchun Sun
- Hongwen He
- Shriram Santhanagopalan
- John J. McPhee
In Electrical and Electronic Engineering
- Christopher D. Rahn
- Chaoyang Wang
- Rui Xiong
- Kandler A. Smith
- Fengchun Sun
- Hongwen He
- Shriram Santhanagopalan
- John J. McPhee
Citations in the corpus
- State of charge estimation using an unscented filter for high power lithium ion cells (2010, background): “Several attempts to simplify the model equations for the battery are reported in the literature [29,30,32,33].”
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles (2018, methodology): “The widely used electrochemical models for battery SoC estimation are the one-dimension (1D) model [32]–[34], the pseudo two-dimensional (P2D) model [35], the quasithree dimensional full order physical model [36] and the first principle model [31], among which the simplification of the P2D model, si”