Nonlinear Fractional Dynamics Integrated Physics-Informed Neural Network Model for LiFePO4 Batteries in Electric Vehicles
This paper addresses the long-standing challenge of attaining high-precision models for
LiFePO 4 Batteries which suffer from weakly observable dynamics. We introduce a new …
LiFePO 4 Batteries which suffer from weakly observable dynamics. We introduce a new …
A nonlinear fractional-order dynamical framework for state of charge estimation of LiFePO4 batteries in electric vehicles
An efficient state of charge (SOC) estimation for LiFePO 4 batteries in electric vehicles (EVs)
has been an open problem so far, largely due to its non-measurable nature. This paper …
has been an open problem so far, largely due to its non-measurable nature. This paper …
Self-adaptive neural network-based fractional-order nonlinear observer design for state of charge estimation of lithium-ion batteries
Accurate state of charge (SOC) estimation provides an essential basis for the functionalities
of battery management systems in electric vehicles (EVs). However, conventional equivalent …
of battery management systems in electric vehicles (EVs). However, conventional equivalent …
[HTML][HTML] Sensitivity of Fractional-Order Recurrent Neural Network with Encoded Physics-Informed Battery Knowledge
In the field of state estimation for the lithium-ion battery (LIB), model-based methods (white
box) have been developed to explain battery mechanism and data-driven methods (black …
box) have been developed to explain battery mechanism and data-driven methods (black …
Lithium-ion battery state of charge and state of power estimation based on a partial-adaptive fractional-order model in electric vehicles
In this article, a fractional-order model (FOM)-based online state of charge (SOC) and state
of power (SOP) estimation method is proposed for lithium-ion batteries in electric vehicles …
of power (SOP) estimation method is proposed for lithium-ion batteries in electric vehicles …
An Equivalent Circuit Model With Variable Effective Capacity for Batteries
C Blanco, L Sanchez, M Gonzalez… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
A new approach to equivalent circuit models for LiFePO 4 batteries is presented in this
paper. The proposed battery model is a semi-physical nonlinear dynamic model with …
paper. The proposed battery model is a semi-physical nonlinear dynamic model with …
Physics-informed recurrent neural networks with fractional-order constraints for the state estimation of lithium-ion batteries
The state estimation of lithium-ion battery is the basis of an intelligent battery management
system; therefore, both model-based and data-driven methods have been designed and …
system; therefore, both model-based and data-driven methods have been designed and …
A physics-based fractional order model and state of energy estimation for lithium ion batteries. Part II: Parameter identification and state of energy estimation for …
State of energy (SOE) is an important index for the electrochemical energy storage system in
electric vehicles. In this paper, a robust state of energy estimation method in combination …
electric vehicles. In this paper, a robust state of energy estimation method in combination …
A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
Accurate Li-ion battery modeling is integral to the design of effective battery management
systems in electric vehicles. However, the voltage–current (U–I) characteristic of Li-ion …
systems in electric vehicles. However, the voltage–current (U–I) characteristic of Li-ion …
Online state of charge and state of power co-estimation of lithium-ion batteries based on fractional-order calculus and model predictive control theory
Accurate battery modelling is the cornerstone to state of charge (SOC) and state of power
(SOP) co-estimation of lithium-ion batteries in electric vehicles. Due to strong battery …
(SOP) co-estimation of lithium-ion batteries in electric vehicles. Due to strong battery …