This is the whole description of our project on the basis of this make some diagrams but not handwritten. Make online from online tools

5.1 Composite Viewpoint

5.2 Logical Viewpoint

5.3 Information Viewpoint

5.4 Interaction Viewpoint

5.5 State Dynamics Viewpoint

5.6 Algorithm Viewpoint

RUL= Remaining Useful Life

2.7 User Interfaces

Main Menu:

The system will display three options:

Create Data set: Using hardware to make our local data set.

Training: We will feed the system training data.

Testing: we will test the system and give output

Battery Status: will give the current parameters of battery connected to hardware.

Training Module

The system will display options:

Load / open data set.

Train system.

Test system.

Testing Module

The system will show option:

Load / open data set

Show graph / result (RUL).

Software Requirements Specification for an estimation method for the (RUL) of li-ion battery using ML

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Battery Status Model:

The system will show:

Battery percentage.

Battery Voltage.

Battery Status.

RUL

Create Dataset Module:

The system will show option:

Destination path.

Charge / discharge mode of hardware.

Start cycle / stop cycle.

2.8 Hardware Interfaces

Our hardware device will consist two main component Arduino and lithium ion battery. Arduino will use to get data from the battery for making data set and also provides battery status.

Arduino

Battery Lithium Ion.

Led for on hardware display.

2.9 Software Interfaces

Windows will be used during development process. The system will be implemented using python language. For estimation of RUL we will use ML Algorithms. For battery Status we will use python and Arduino both interfaces.

3. Functional Requirements

There are 6 main features of our system:

Data Acquisition.

Feature Extraction.

Training.

Testing

Output(Predicted RUL)

Battery Status.

Helping Diagram But Use RUL instead of SOH