Dual Nonlinear Kalman Filter-Based SoC and Remaining Capacity Estimation for an Electric Scooter Li-NMC Battery Pack
Accurate, real-time estimation of battery state-of-charge (SoC) and state-of-health represents a crucial task of modern battery management systems. Due to nonlinear and battery degradation-dependent behavior of output voltage, the design of these estimation algorithms should be based on nonlinear pa...
Main Authors: | Filip Maletić, Mario Hrgetić, Joško Deur |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/3/540 |
Similar Items
-
Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter
by: Ines Baccouche, et al.
Published: (2017-05-01) -
Real-Time SoC Estimation for Li-Ion Batteries using Kalman Filter based on SBC Raspberry-Pi
by: Zaini Zaini, et al.
Published: (2021-12-01) -
Implementing an Extended Kalman Filter for SoC Estimation of a Li-Ion Battery with Hysteresis: A Step-by-Step Guide
by: Benedikt Rzepka, et al.
Published: (2021-06-01) -
An extended Kalman filter based SOC estimation method for Li-ion battery
by: Zhenjie Cui, et al.
Published: (2022-08-01) -
State of Charge Estimation and Evaluation of Lithium Battery Using Kalman Filter Algorithms
by: Longzhou Hu, et al.
Published: (2022-12-01)