added MATLAB Online buttons

Author: Florin-Nae

README.md

@@ -1,5 +1,6 @@
-Battery Model Parameter Estimation Using Impedance Data
-=======================================================
+# Battery Model Parameter Estimation Using Impedance Data [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=mathworks/Battery-Model-Parameter-Estimation-Using-Impedance-Data&project=https://github.com/mathworks/Battery-Model-Parameter-Estimation-Using-Impedance-Data/blob/main/BatteryImpedanceStudy_git.prj)
+
+---
 
 *Keywords: equivalent circuit model, battery model parameter estimation, impedance data*
 
@@ -9,16 +10,12 @@ Using [Electrochemical Impedance Spectroscopy (EIS)](https://pubs.acs.org/doi/10
 
 This demo uses impedance data of a battery cell to estimate the parameters of an **Equivalent Circuit Model (ECM)**. Estimated model parameters can directly be used for instance in a Simscape™ Battery™ block, such as [Simscape Battery (Table-Based)](https://www.mathworks.com/help/simscape-battery/ref/batterytablebased.html).
 
-
-
 電化メガトレンドのため、インピーダンスデータを使用したバッテリモデルパラメータの推定には大きな関心が集まっています。通常、バッテリモデルパラメータは時間領域のデータを使用して推定され、推定には通常時間がかかります。さらに、時間領域で測定されるデータの周波数コンテンツが制限される場合があります。
 
 [電気化学インピーダンス分光法(EIS)](https://pubs.acs.org/doi/10.1021/acsmeasuresciau.2c00070) のデータを使用してモデル・パラメータを直接推定すると、高速で、より広い周波数範囲をカバーすることができます。EISは基本的に、広い周波数範囲にわたって正弦波信号（交流電圧または電流）を印加し、系の正弦波応答（それぞれ電流または電圧）をモニターすることによって、平衡状態または定常状態の電気化学系に摂動を与えることに基づく周波数応答推定技術である。
 
 このデモでは、電池セルのインピーダンスデータを使用して、**等価回路モデル（ECM）** のパラメータを推定します。推定されたモデルパラメータは、例えば [Simscape Battery (Table-Based)](https://www.mathworks.com/help/simscape-battery/ref/batterytablebased.html) のようなSimscape™ Battery™ブロックで直接使用できます。
 
-
-
 Demo contents:
 
 - Discuss the practical frequency range for Li-ion Battery Impedance Spectroscopy
@@ -28,6 +25,14 @@ Demo contents:
 - Verify the no-CPE model using Simulink
 - Discuss advantages and disadvantages of CPEs for simulation
 
+## MathWorks<sup>®</sup> products needed to run the demo
+
+1. MATLAB<sup>®</sup> version R2023b or newer
+2. Simulink<sup>®</sup>
+3. Optimization Toolbox™
+4. Control System Toolbox™
+5. Simscape™ Battery™ 
+
 ## Getting Started
 
 Follow these steps to download the project and explore the example.
@@ -36,7 +41,9 @@ Follow these steps to download the project and explore the example.
 
 - Use the GitHub repository path above and clone it to a local PC directory to save the project files, or
 
-- Get a local copy of the project directly from MATLAB®, by using Simulink® ➡ Project from Git
+- Get a local copy of the project directly from MATLAB®, by using Simulink® ➡ Project from Git, or
+
+- Open the project in MATLAB Online [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=mathworks/Battery-Model-Parameter-Estimation-Using-Impedance-Data&project=https://github.com/mathworks/Battery-Model-Parameter-Estimation-Using-Impedance-Data/blob/main/BatteryImpedanceStudy_git.prj)
 
 Start the MATLAB® project by clicking on the file **BatteryImpedanceStudy_git.prj**. This will load the necessary parameters and then run the simulation by using the MATLAB® Live Script **batteryCell_parameterEstimation.mlx**.
 
@@ -46,6 +53,8 @@ Open and explore the MATLAB® Live Script **batteryCell_parameterEstimation.mlx*
 
 ## Practical Frequency Range for Li-ion Battery Impedance Spectroscopy
 
+---
+
 Generally, the frequency range for impedance spectroscopy on Li-ion batteries spans from millihertz (mHz) to megahertz (MHz) . Below is a breakdown of the frequency ranges and the corresponding physical processes they represent (for more details, refer to Reference 1):
 
 1. **High Frequencies (10 kHz to 1 MHz or higher):**
@@ -337,14 +346,6 @@ open_system(mdl+"/CCV")
 
 - Optimization using nonlinear least-squares algorithm (implemented by [lsqnonlin](https://www.mathworks.com/help/optim/ug/lsqnonlin.html)) can be used to quickly estimate the parameters of an arbitrary circuit model, and is much faster compared to estimation using time domain data. 
 
-## MathWorks<sup>®</sup> products needed to run the demo
-
-1. MATLAB<sup>®</sup> version R2023b or newer
-2. Simulink<sup>®</sup>
-3. Optimization Toolbox™
-4. Control System Toolbox™
-5. Simscape™ Battery™ 
-
 ## License
 
 The license is available in the LICENSE.txt file in this GitHub repository.