scholarly journals Implementation of Hardware-in-the-Loop Based Platform for Real-time Battery State of Charge Estimation on Li-Ion Batteries of Electric Vehicles using Multilayer Perceptron

2020 ◽  
Vol 8 (4) ◽  
pp. 195-205
Author(s):  
Suleyman Ceven
Keyword(s):  
Real Time ◽  
Electric Vehicles ◽  
Multilayer Perceptron ◽  
State Of Charge ◽  
Hardware In The Loop ◽  
Li Ion Batteries ◽  
Battery State Of Charge ◽  
Li Ion ◽  
State Of Charge Estimation

Comparative Analysis of the Model Based State of Charge Estimation Methods for Li Ion Batteries Used in Electric Vehicle Applications

2021 ◽  
Author(s):  
SHUVAM ROUTRAY ◽  
Kranthi Nidubrolu ◽  
Abhisha Chauhan ◽  
Chinmay Ashok Kirtane ◽  
Lohit Dhamija ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Electric Vehicle ◽  
State Of Charge ◽  
Estimation Methods ◽  
Li Ion Batteries ◽  
Model Based ◽  
Li Ion ◽  
State Of Charge Estimation

State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach

2020 ◽  
Vol 56 (5) ◽  
pp. 5565-5574
Author(s):  
Dickshon N. T. How ◽  
Mahammad A. Hannan ◽  
Molla S. Hossain Lipu ◽  
Khairul S. M. Sahari ◽  
Pin Jern Ker ◽  
...  
Keyword(s):  
Neural Network ◽  
Electric Vehicles ◽  
Deep Neural Network ◽  
State Of Charge ◽  
Li Ion Battery ◽  
Network Approach ◽  
Neural Network Approach ◽  
Li Ion ◽  
State Of Charge Estimation

State of Charge Estimation for Li-Ion Batteries Based on an Unscented H-Infinity Filter

2020 ◽  
Vol 15 (6) ◽  
pp. 2529-2538
Author(s):  
Yuanyuan Liu ◽  
Tiantian Cai ◽  
Jingbiao Liu ◽  
Mingyu Gao ◽  
Zhiwei He
Keyword(s):  
State Of Charge ◽  
Li Ion Batteries ◽  
H Infinity ◽  
Li Ion ◽  
State Of Charge Estimation

Diagnostics and Prognostics of Lithium-Ion Batteries

2015 ◽  
Author(s):  
Zhimin Xi ◽  
Rong Jing ◽  
Cheol Lee
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
State Of Charge ◽  
Data Driven ◽  
State Of Health ◽  
Li Ion Batteries ◽  
Battery State Of Charge ◽  
Li Ion ◽  
Useful Life

This paper investigates recent research on battery diagnostics and prognostics especially for Lithium-ion (Li-ion) batteries. Battery diagnostics focuses on battery models and diagnosis algorithms for battery state of charge (SOC) and state of health (SOH) estimation. Battery prognostics elaborates data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH. Readers will learn not only basics but also very recent research developments on battery diagnostics and prognostics.

Fading Kalman filter-based real-time state of charge estimation in LiFePO4 battery-powered electric vehicles

2016 ◽  
Vol 169 ◽  
pp. 40-48 ◽  
Author(s):  
KaiChin Lim ◽  
Hany Ayad Bastawrous ◽  
Van-Huan Duong ◽  
Khay Wai See ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Electric Vehicles ◽  
State Of Charge ◽  
Lifepo4 Battery ◽  
State Of Charge Estimation
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