An Extended Kalman Filter with Exponential Thermoelectric Measurement Model for Sensorless Surface Temperature Estimation of Li-ion Batteries

2021 ◽  
Author(s):  
Mahroo Sajid ◽  
Ali Wadi ◽  
Mamoun Abdel-Hafez ◽  
Ala A. Hussein
Keyword(s):  
Kalman Filter ◽  
Surface Temperature ◽  
Extended Kalman Filter ◽  
Measurement Model ◽  
Li Ion Batteries ◽  
Temperature Estimation ◽  
Li Ion

scholarly journals Improved state of charge estimation for Li-ion batteries using fractional order extended Kalman filter

2019 ◽  
Vol 435 ◽  
pp. 226710 ◽  
Author(s):  
Kodjo S.R. Mawonou ◽  
Akram Eddahech ◽  
Didier Dumur ◽  
Dominique Beauvois ◽  
Emmanuel Godoy
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Fractional Order ◽  
State Of Charge ◽  
Li Ion Batteries ◽  
Li Ion ◽  
State Of Charge Estimation

A novel extended Kalman filter-based battery internal and surface temperature estimation based on an improved electro-thermal model

2021 ◽  
Vol 41 ◽  
pp. 102854
Author(s):  
Hui Pang ◽  
Long Guo ◽  
Longxing Wu ◽  
Jiamin Jin ◽  
Fengqi Zhang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Surface Temperature ◽  
Extended Kalman Filter ◽  
Thermal Model ◽  
Temperature Estimation

Hardware Implementation Optimization of Extended Kalman Filter for the Estimation of State of Charge of Li-Ion Battery

2015 ◽  
Vol 713-715 ◽  
pp. 1094-1098
Author(s):  
Hong Ce Zhang ◽  
Pu Shen Wang ◽  
Jiang Jiang ◽  
Hong Fei Cao
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Extended Kalman Filter ◽  
High Performance ◽  
Hardware Implementation ◽  
State Of Charge ◽  
Li Ion Batteries ◽  
Soc Estimation ◽  
Li Ion ◽  
Time Restriction

Extended Kalman Filter (EKF) is widely studied in the field of State of Charge (SOC) estimation of Li-ion batteries, however, in applications like Electric Vehicles (EV), there are usually a large number of individual battery cells. In order to meet the demand of real-time computation, MCU of high performance is essential. In this paper, we proposed a hardware structure to implement EKF which is economical in area and power consumption and could be easily integrated in a larger design and at the same time could satisfy the real-time restriction.

An extended Kalman filter based data-driven method for state of charge estimation of Li-ion batteries

2021 ◽  
Vol 40 ◽  
pp. 102655
Author(s):  
Xingtao Liu ◽  
Kun Li ◽  
Ji Wu ◽  
Yao He ◽  
Xintian Liu
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
State Of Charge ◽  
Data Driven ◽  
Li Ion Batteries ◽  
Li Ion ◽  
State Of Charge Estimation
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