IOT BASED CHARGING SLOT LOCATOR AT CHARGING STATION

ABSTRACT:-

• In Electric vehicles, electrical energy is stored in batteries.
• The required time to charge the EV is more.
• The charging stations of EV play a major role in this. Currently, people are unaware of how many charging stations are there in the journey.
• So, to find a charging station and slot availability extra time will be wasted and also inconvenience will occur.
• The paper provides a solution technique to save time and avoid the inconvenience of EV users.
• This system will indicate the availability of charging slots at each charging station in our journey.
• Also, it will show from what time the vehicle is plugged to the charging station so that we can plan our journey accordingly

OBJECTIVES OF THE PROJECT:-

The main objectives of this system are:

• To solve the identified problems related to the Electric Vehicle charging in shared spaces.
• To design and implement an IoT-based system for handling the Electric Vehicle charging process.
• To save time and avoid inconvenience to users in journey.
• To support and the management of charging Electric Vehicle and energizing cycles through an easy-to_understand stage.
• To make it all simpler for EV users, the inserted information is stored on cloud and gets easily available for EV users.

EXISTING SYSTEM:-

The EV charging platform consists of the factors offered  whose roles are in brief defined below, and the implementation info for every thing is unique in the subsequent section:

• IoT Units. Sensor and electricity control devices that guide the interplay with the EV charger, getting used to allow or disable it (on/off switch), to degree the quantity of electricity consumed, acquire surroundings temperature and humidity (complementary measures), and to add all the records to the control unit. Implemented with COTS (industrial off-the-shelf) additives, Arduino microcontrollers, actuators and sensors. Depending on the installation requirements, distinctive additives may be blended to install the IoT Unit.
• Mobile App. The detail that establishes the interplay among the EV proprietor and the platform, authenticates the user, starts/stops the charging process, and affords a few not unusual place operations, consisting of configuration control, utilization dashboards, transactions lists, etc. 

Management Unit. This detail is the coronary heart of the platform, supplying now no longer best all of the backend offerings to guide the specified operations, however additionally the control console for the platform.In the prototype offered on this paper, the control unit become carried out the use of a Raspberry Pi, which additionally acts as a Wi-Fi get entry to point, supplying community get entry to to the sensor devices and to the cellular app, however it is able to additionally be carried out the use of a cloud computing platform

PROPOSED SYSTEM:-

One of the important challenges concerning electric powered cars is the charging stations, in which the primary motive is to decide the availability of a charging slot at a particular charging station. Right now, human beings do not know what number of charging channels on their trip. Therefore, the primary goal of our project is to obtain this requirement and to lessen distractions because of humans and keep their time.

In this project, there are three charging stations where two charging slots are installed in each charging station. We used Raspberry pi as a controller. These spaces are connected to the Raspberry pi using the press buttons. The ON or OFF buttons show us availability of slots to that specific charging station. The indicators are nothing but LEDs also connected to the raspberry pi. When the push button is on the indicator will remain CLOSED indicating that the slot is full that it is not available and when the press button is OFF the indicator CLOSES indicating that a slot is available for charging. Android app that downloads data to the cloud and we can see the current state of space availability in the Android app. The Android app will also show the location of the charging station via google map. This turn on and off data will be uploaded to ThingSpeak cloud.

We develop the Android app that displays the user interface of current location and nearby charging stations from user current location. After clicking on the charging station, the user gets information about the number of slots available and from any time available or not available for charging. Users can find a route to the charging station by clicking the google map option, the user will find the route from the current location to the selected charging station.

 MODULES:

• User Registration: User have to register to become a part of Android Application.
• User Login: User have to login themself to access in Application.
• Hardware: LED, resister, raspberry pi, breadboard, jumper wires using this we can find or detect where charging slot available and unavailable and that data save in database.
• Slot Available: Fetch latitude and longitude values of charging slot available from database using python.and send that values to jsonarray and set that values indexvise and display on google map using java.
• Slot Unavailable: Fetch latitude and longitude values of charging slot Unavailable from database using python.and send that values to jsonarray and set that values indexvise and display on google map using java.

ADVANTAGES :-

• This charging technology has main advantages, it increases the traveling range, reduces the battery size and waiting time for charging the vehicle will mitigate.
• This charging technology has advantages as it is safe and convenient for charging the vehicle when the vehicle is at rest. 
• EVs have many advantages including that they are eco-friendlier, energy efficient, and more comfortable than normal vehicles.
• This system helps users to find the nearest charging station and display availability of charging slots on mobile apps.
• This system helps the EV user to reach the charging station by showing the route on map.

HARDWARE:-

• Processor: Intel Core i3 or more.
• RAM: 4GB or more.
• Hard disk: 250 GB or more.

SOFTWARE:-

• Operating System : Windows 10, 7, 8.1.
• Android
• Python
• Spyder, Jupyter notebook, Flask.
• Raspberry pi