scholarly journals Investigation on lithium ion battery equivalent circuit models for dynamic load profiles

2021 ◽  
Author(s):  
Bansi L. Bairwa ◽  
Kapil Pareek ◽  
Santosh kumar Hampannavar
Keyword(s):  
Lithium Ion Battery ◽  
Equivalent Circuit ◽  
Dynamic Load ◽  
Lithium Ion ◽  
Equivalent Circuit Models

Hoeffding Evolutionary Algorithm and its Application in Building Equivalent Circuit Models for Lithium-Ion Battery

2015 ◽  
Vol 713-715 ◽  
pp. 1099-1102
Author(s):  
Jing Jing Wu ◽  
Jing Huang ◽  
Hai Long Li ◽  
Wan Li Kang
Keyword(s):  
Evolutionary Algorithms ◽  
Evolutionary Algorithm ◽  
State Estimation ◽  
Lithium Ion Battery ◽  
Equivalent Circuit ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
The State ◽  
State Of Charge ◽  
Equivalent Circuit Models

There has been a growing interest in building equivalent circuit models for lithium-ion battery with evolutionary algorithms. One of the well-known algorithm is the Hoeffding bound based evolutionary algorithm (HEA). In this paper, we first introduce the definitions of the Hoeffding bound, selection operations and Hoeffding evolutionary algorithm. And then, we introduced the method for building equivalent circuit models, which composed of four fundamental functions, connection-modifying function, component-creating function, arithmetic-performing functions and automatically defined function. In this way, a Hoeffding-evolutionary-algorithm based equivalent-circuit-model for lithium-ion battery is modeled. With the model-based state estimation approaches, the obtained model can assess the state-of-charge (SOC) of cells precisely.

scholarly journals An Adaptive Estimation Scheme for Open-Circuit Voltage of Power Lithium-Ion Battery

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Yun Zhang ◽  
Chenghui Zhang ◽  
Naxin Cui
Keyword(s):  
Lithium Ion Battery ◽  
Equivalent Circuit ◽  
Open Circuit Voltage ◽  
Adaptive Estimation ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Open Circuit ◽  
Adaptive Scheme ◽  
Power Battery ◽  
Estimation Scheme

Open-circuit voltage (OCV) is one of the most important parameters in determining state of charge (SoC) of power battery. The direct measurement of it is costly and time consuming. This paper describes an adaptive scheme that can be used to derive OCV of the power battery. The scheme only uses the measurable input (terminal current) and the measurable output (terminal voltage) signals of the battery system and is simple enough to enable online implement. Firstly an equivalent circuit model is employed to describe the polarization characteristic and the dynamic behavior of the lithium-ion battery; the state-space representation of the electrical performance for the battery is obtained based on the equivalent circuit model. Then the implementation procedure of the adaptive scheme is given; also the asymptotic convergence of the observer error and the boundedness of all the parameter estimates are proven. Finally, experiments are carried out, and the effectiveness of the adaptive estimation scheme is validated by the experimental results.

Sign in / Sign up

Export Citation Format

Share Document