scholarly journals A tracking problem for the state of charge in a electrochemical Li-ion battery model

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Esteban Hernández ◽  
Christophe Prieur ◽  
Eduardo Cerpa
Keyword(s):  
The State ◽  
State Of Charge ◽  
Ion Concentration ◽  
Particle Model ◽  
Reference Trajectory ◽  
Tracking Problem ◽  
Li Ion Battery ◽  
Feedback Controllers ◽  
Li Ion ◽  
Convergence Proofs

<p style='text-indent:20px;'>In this paper the Single Particle Model is used to describe the behavior of a Li-ion battery. The main goal is to design a feedback input current in order to regulate the State of Charge (SOC) to a prescribed reference trajectory. In order to do that, we use the boundary ion concentration as output. First, we measure it directly and then we assume the existence of an appropriate estimator, which has been established in the literature using voltage measurements. By applying backstepping and Lyapunov tools, we are able to build observers and to design output feedback controllers giving a positive answer to the SOC tracking problem. We provide convergence proofs and perform some numerical simulations to illustrate our theoretical results.</p>

scholarly journals Takagi–Sugeno Observer Design for Remaining Useful Life Estimation of Li-Ion Battery System Under Faults

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1537
Author(s):  
Norbert Kukurowski ◽  
Marcin Pazera ◽  
Marcin Witczak
Keyword(s):  
Current Measurement ◽  
The State ◽  
Remaining Useful Life ◽  
Observer Design ◽  
State Of Charge ◽  
Li Ion Battery ◽  
Battery System ◽  
Li Ion ◽  
Useful Life ◽  
Takagi Sugeno

Among the existing estimation schemes of a battery state of charge, most deal with an assumption that the faults will never occur in the system. Nevertheless, faults may have a crucial impact on the state of charge estimation accuracy. The paper proposes a novel observer design to estimate the state of charge and the remaining useful life of a Li-ion battery system under voltage and current measurement faults. The approach starts with converting the battery system into the descriptor Takagi–Sugeno form, where the state includes the original states along with the voltage and current measurement faults. Moreover, external disturbances are bounded by an ellipsoid based on the so-called Quadratic Boundedness approach, which ensures the system stability. The second-order Resistor-Capacitor equivalent circuit model is considered to verify the performance and correctness of the proposed observer. Subsequently, a real battery model is designed with experimental data of the Li-ion 18650 battery delivered from the NASA benchmark. Another experiment deals with an automated guided vehicle fed with a battery of which the remaining useful life is estimated. Finally, the results are compared with another estimation scheme based on the same benchmark.

scholarly journals Super-Capacitors as an Alternative for Renewable Energy Unstable Supply

2018 ◽  
Vol 1 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Collins Ineneji ◽  
Olusola Bamisile ◽  
Mehmet Kuşaf
Keyword(s):  
Lithium Ion ◽  
Time Frame ◽  
The State ◽  
State Of Charge ◽  
Storage Device ◽  
Li Ion Battery ◽  
Super Capacitor ◽  
Simulink Model ◽  
Li Ion ◽  
Super Capacitors

In this article a Lithium battery and super-capacitors performance for energy storage in renewable is compared. A photo-voltaic system is considered with Lithium-ion (Li-ion) battery, then with a super-capacitor compared as the storage device. The super-capacitor consists of 10 capacitors connected in series and one in parallel. The comparison is made based on the state of charge and the output voltage of the two storage devices. Matlab/Simulink model is developed to make the analysis of the two systems. Li-ion battery displayed a uniform voltage of 0.9 V while the super-capacitor accumulated 250 V; when the simulation was done within a specific time frame. The Hybrid system however, drew a lower voltage of 15 V but a more stable supply is achieved over time. While the state of charge of the battery is constant over the time of simulation, the super-capacitor increases with time. The details of the simulation are presented in the full paper.

scholarly journals Real Time Design and Implementation of State of Charge Estimators for a Rechargeable Lithium-Ion Cobalt Battery with Applicability in HEVs/EVs—A Comparative Study

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2749 ◽  
Author(s):  
Nicolae Tudoroiu ◽  
Mohammed Zaheeruddin ◽  
Roxana-Elena Tudoroiu
Keyword(s):  
Comparative Study ◽  
Real Time ◽  
Lithium Ion ◽  
The State ◽  
State Of Charge ◽  
Li Ion Battery ◽  
Matlab Simulation ◽  
Soc Estimation ◽  
Battery Model ◽  
Li Ion

Estimating the state of charge (SOC) of Li-ion batteries is an essential task of battery management systems for hybrid and electric vehicles. Encouraged by some preliminary results from the control systems field, the goal of this work is to design and implement in a friendly real-time MATLAB simulation environment two Li-ion battery SOC estimators, using as a case study a rechargeable battery of 5.4 Ah cobalt lithium-ion type. The choice of cobalt Li-ion battery model is motivated by its promising potential for future developments in the HEV/EVs applications. The model validation is performed using the software package ADVISOR 3.2, widely spread in the automotive industry. Rigorous performance analysis of both SOC estimators is done in terms of speed convergence, estimation accuracy and robustness, based on the MATLAB simulation results. The particularity of this research work is given by the results of its comprehensive and exciting comparative study that successfully achieves all the goals proposed by the research objectives. In this scientific research study, a practical MATLAB/Simscape battery model is adopted and validated based on the results obtained from three different driving cycles tests and is in accordance with the required specifications. In the new modelling version, it is a simple and accurate model, easy to implement in real-time and offers beneficial support for the design and MATLAB implementation of both SOC estimators. Also, the adaptive extended Kalman filter SOC estimation performance is excellent and comparable to those presented in the state-of-the-art SOC estimation methods analysis.

scholarly journals Estimation of State of Charge (SoC) Using Modified Coulomb Counting Method With Open Circuit Compensation For Battery Management System (BMS)

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Puspita Ningrum ◽  
Novie Ayub Windarko ◽  
Suhariningsih Suhariningsih
Keyword(s):  
Management System ◽  
Voltage Divider ◽  
Open Circuit ◽  
Voltage Sensor ◽  
State Of Charge ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Battery ◽  
Control Center ◽  
Li Ion

Abstract— Battery is one of the important components in the development of renewable energy technology. This paper presents a method for estimating the State of Charge (SoC) for a 4Ah Li-ion battery. State of Charge (SoC) is the status of the capacity in the battery in the form of a percentage which makes it easier to monitor the battery during use. Coulomb calculations are widely used, but this method still contains errors during integration. In this paper, SoC measurement using Open Circuit Voltage Compensation is used for the determination of the initial SoC, so that the initial SoC reading is more precise, because if the initial SoC reading only uses a voltage sensor, the initial SoC reading is less precise which affects the next n second SoC reading. In this paper, we present a battery management system design or commonly known as BMS (Battery Management System) which focuses on the monitoring function. BMS uses a voltage sensor in the form of a voltage divider circuit and an ACS 712 current sensor to send information about the battery condition to the microcontroller as the control center. Besides, BMS is equipped with a protection relay to protect the battery. The estimation results of the 12volt 4Ah Li-ion battery SoC with the actual reading show an error of less than 1%.Keywords—Battery Management System, Modified Coulomb Counting, State of Charge.

Sign in / Sign up

Export Citation Format

Share Document