Simplification of physics-based electrochemical model for lithium ion battery on electric vehicle. Part I: Diffusion simplification and single particle model
By Xuebing Han, Minggao Ouyang, Languang Lu, Jianqiu Li. 2015
242 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/6e2c082d332d5a54b7d171a476d3ea37d553ab02
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
- Miroslav Krstic
- Anahita Mirtabatabaei
- Federico Bribiesca Argomedo
- Reinhardt Klein
- Lucian Mihet-Popa
- Scott Jason Moura
- Kang Li
- Valentin Sulzer
In Electrical and Electronic Engineering
- Miroslav Krstic
- Anahita Mirtabatabaei
- Federico Bribiesca Argomedo
- Reinhardt Klein
- Lucian Mihet-Popa
- Scott Jason Moura
- Kang Li
- Valentin Sulzer
Citations in the corpus
- Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications (2023, background): “Resistance-Capacitance (RC) network-based models are among the several ECM models explored in the literature that have found widespread use for online applications.”
- Battery State Estimation for a Single Particle Model With Electrolyte Dynamics (2017, methodology): “Recently, there has been progress on extending the SPM to include electrolyte dynamics [18]–[22].”
- Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, unknown): “In the past few years, several models, such as single particle (SP) model [118], simplified P2D model (SP2D) [119] and improved SP model (SP3) [120], have been developed to overcome the issues related to the P2D model.”
- A continuum of physics-based lithium-ion battery models reviewed (2022, methodology): “While some authors take an ad hoc approach, posing the model directly from a list of simplifying assumptions [11, 46, 47, 58, 85], others (particularly in the mathematical modelling community) use formal asymptotic methods to systematically derive the reduced order models directly from the DFN model”
- A brief review on key technologies in the battery management system of electric vehicles (2018, methodology): “[10] proposed an approximate method to capture the solid phase diffusion and electrolyte concentration distribution of battery, then a simplified physics-based electrochemical model is developed to estimate Li-ion battery SOC.”