45_Zenith_Modula

Experience the Future Of Battery Management with our advanced BMS, Safeguarding your Battery's Performance By Monitoring, Protecting, and Isolating Potential Issues, Ensuring Peak Efficiency & Safety.

Comment

Inspiration

The inspiration behind our project stems from real-world instances and the urgent necessity to address safety concerns arising from failures in Battery Management System (BMS) technology. Regrettably, injuries and, in a few instances, even deaths have occurred due to incidents related to EVB.

7 year old Dies after Electric Scooter's Battery explodes during charging in Maharashtra.

Electric car catching fire in Bangalore and causing injuries and death to multiple individuals.

In the past few years, instances of electric vehicle battery fires and thermal runaway events have been well-documented. The consequences of these incidents have extended widely, affecting not only individuals but also stirring worries regarding the safety of electric vehicles and electric bikes. The critical importance of robust battery monitoring systems has been emphasized by these real-world examples.

The motivation behind our project stems from the aspiration to avert future occurrences of such incidents. Our objective is to develop a holistic battery monitoring system that promotes safety, identifies deviations from optimal battery conditions, and delivers prompt notifications to avert possible catastrophes. Our goal is to enhance the safety of electric biking and electric vehicles by acknowledging the potential dangers linked to BMS related incidents in the real world.

What it does

1.Cell Monitoring Cell Monitoring Is Monitoring Each Of The Cells Included In A Battery Pack And Ensuring That They Are Operated Within The Safe Operating Range. It Monitors And Reacts To The State Of Health (SoH), State Of Charge (SoC) And Depth Of Discharge (DoD).

2.Battery Protection Battery Protection Is Vital For Lithium-Ion Batteries Used In Electric Vehicles, Guarding Against Overcharge, Undercharge, Short Circuits, And Overheating.

3.Cell Isolation Incorporate A Cell Isolation Mechanism To Prevent Potential Issues In One Battery Cell From Affecting Others, Enhancing Overall Safety And Longevity.

How we built it

Hardware Objective is to predict and detect fault. Fault is detected using LM35 heat sensor, Current and Voltage sensor.

  1. LM35 heat sensor is attached to battery, regulator and motor.
  2. Voltage and current sensors are attached to line from battery.
  3. The flow of voltage and current will be monitored by microcontroller and provide information to user.
  4. When there’s a change is heat above the tolerance level, it’ll be detected as fault. If the temperature is rising rapidly, the faulty part will be isolated using relay.
  5. When there’s a fault in cells of battery, there’ll be change in output voltage and current. The output data's will be monitored by microcontroller and compare will past data and predict the level of fault. If the change in output voltage and current is more than the tolerance value, it is considered as fault and relay will be activated with the help of microcontroller and the details will be send to user.
  6. There’s a high chance of short circuit, overloading, overcharging in EVs. To provide protection to EVs, we include emergency turn off system. If such a fault is detected, the entire system will be turned off and only be turned on after rectifying the issue manually.

Software

  1. Web app to monitor the real time data using MERN Stack.
  2. Realtime Data including Voltage, Current, Resistance and Temperature of Battery from h/w is displayed in Dashboard.

Challenges we ran into

  1. The challenges were
  2. Integrating hardware and software seamlessly,
  3. Ensuring data security, and adjusting to changing industry standards.
  4. Obtaining Data from NodeMCU to a DB.

Accomplishments that we're proud of

We were able to built the circuit design, Web app, Mobile app and the working h/w model within the stipulated time.

What we learned

The project helped us pave a successful journey path throughout equipping with profound knowledge in battery technology, social wellbeing, seamless integration, user-centered design, and the art of staying innovative amid fierce competition.

What's next for 45_Zenith_Modula

An advanced Battery Management and Testing System (BMTS) integrated with Artificial Intelligence to enhance the safety and longevity of EV batteries. Our AI-enabled BMTS will leverage machine learning algorithms to continuously monitor and analyze the performance of each battery cell in real-time. By employing predictive analytics, the system can foresee potential failures before they occur, ensuring proactive maintenance and reducing the risk of fires.

Furthermore, our system uses natural language processing to generate detailed reports for the technicians, facilitating a quicker and more informed response.

Share this project:

Updates