Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries

By A. Jokar, B. Rajabloo, M. Désilets, M. Lacroix. 2016

488 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0b9a8ce8a610f7348ee8286b5d0fdeff513bd865

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

1. Andreas Jossen

In Electrical and Electronic Engineering

1. Andreas Jossen

Citations in the corpus

• State estimation of lithium-ion cells using a physicochemical model based extended Kalman filter (2018, background): “Only a few research efforts [23–25] are dealing with recursive state observer models using the PCM [26], which shows the necessity of our work.”
• Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, unknown): “In the past decade, Acronym definition EV Electric vehicle LIB Lithium-ion battery KF Kalman filter SOC State of charge BMS Battery management system ALS Autocovariance least square SOH State of health SOP State of power SOE State of energy SOF State of function OCV Open-circuit voltage ECM Electroc”