Invented by Nabizada; Jamshed, Sampangi; Nayana

Electric vehicles (EVs) are changing the way we move. But charging them quickly, fairly, and reliably is still a big challenge. A new patent application introduces a smart system that makes charging stations work better, especially when there’s not enough power. In this article, we’ll explain why this problem matters, what science and older solutions exist, and how this new invention works—using simple words and clear ideas.

Background and Market Context

The world is shifting to electric cars. More and more people are buying EVs because they’re clean, quiet, and cost less to run. Many cities and companies want to build charging stations everywhere—at home, at work, at malls, and on highways. But as more EVs hit the roads, there’s a new problem: can we keep them all charged up, especially when the power grid is under stress or goes down?

Imagine a busy charging spot in a city. It might have a few chargers and a big battery to help supply power. But what happens if there’s a blackout or the grid gets overloaded? What if too many cars show up at once? Sometimes, the charging site runs out of stored energy before the next batch of power arrives. This leaves some drivers waiting—or worse, stuck.

In many places, electricity prices go up and down during the day. During peak hours, using power from the grid gets expensive. Some sites use batteries to store cheap power overnight and give out fast charging during the day. But if lots of cars arrive and the site is low on stored energy, the system needs to spread the remaining charge as smartly as possible.

EV drivers want to know they’ll get a fair share of energy, especially if they booked a charging slot ahead of time. Operators want to serve as many cars as possible, without running out of power or leaving drivers angry. Utility companies want to avoid spikes in power use that can strain the grid. All these needs make charging much more than just plugging in and waiting.

So, the market is hungry for charging systems that can handle many cars, balance the use of batteries and the grid, and adjust for things like time of day, weather, and even holidays. That’s where this new patent application steps in.

Scientific Rationale and Prior Art

Charging an EV is not as simple as filling a gas tank. It depends on how much power is available, the size of each car’s battery, and how many cars need charging. Charging stations often use both the electric grid and local batteries. If the grid fails, stations switch to battery power. But batteries can only hold so much. If too many cars plug in, the battery can drain fast.

Earlier solutions tried to fix these problems in different ways. Some sites used “first come, first served” rules. The first cars to plug in got as much energy as they wanted, until the battery ran low. Others tried to cap the amount of energy each car could get, but often used fixed limits that didn’t adapt to real-time conditions.

Some systems used basic timers or simple schedules to limit charging during expensive peak times. Others used load balancing to spread power evenly across all plugged-in cars. But these older methods didn’t consider how many cars might arrive later, or how much power should be saved for future reservations. They also didn’t adjust charging based on weather (which can affect battery performance), the time of day, or special events like holidays when demand might spike.

In recent years, some advanced charging stations started using software and even machine learning. These systems can look at past data, like how busy the site gets at certain hours, and try to predict future demand. But most of these solutions are still simple—they don’t combine all the critical factors, and they sometimes lack a way to manage charging sessions when the grid is down and the battery is running low. They also don’t always connect with other stations or a central management system to share data and make smarter decisions across a whole network.

In summary, the older art has helped, but it leaves gaps. There’s a need for a system that can:

• Detect when grid power is lost,
• Estimate how many cars will need charging soon,
• Spread the remaining battery power fairly,
• Adjust limits based on real-world factors like weather, time, or upcoming reservations,



• And do all this in a way that keeps both drivers and charging site operators happy.

The patent application we’re examining claims to solve all these problems in one smart package.

Invention Description and Key Innovations

The heart of the invention is a “charging system” with three main parts:

1. A local battery (energy storage) at the charging site,
2. An electric connection (coupling) to link the site with each EV,
3. One or more smart controllers that run the show.

Let’s break down how this works in the real world, step by step:

1. Smart Detection of Power Availability

The system always watches for “conditions” that affect energy at the station. For example, it checks if the grid is working or if the site is running on stored battery power. If the grid fails (like during a blackout), the system switches to battery mode and knows it has to make the stored energy last until the grid comes back.

2. Predicting How Many Cars Will Need a Charge

When the site is on battery power, the controller estimates how many EVs are likely to arrive and need charging over the next few hours. It does this by looking at past data (for example, how busy it was at this time yesterday or last week), checking for reservations, and even factoring in things like weather or holidays. If a storm is coming, fewer cars might show up; on a holiday, more drivers may need a charge.

3. Dividing Up the Remaining Battery Power

The system looks at how much energy is left in the local battery and sets a minimum level to avoid draining it completely. Then, it divides the energy left (above that safety level) by the number of cars it expects. This calculation gives a fair “limit” for each charging session, so no one car takes too much and leaves the rest with none. If only a few cars are expected, each one can get more energy; if a big rush is coming, everyone gets a bit less, but more drivers get something.

4. Adapting to Real-World Factors

The controller can also adjust how much power is given based on:

• Time of Day: Maybe more power is allowed during busy hours, or less at night.
• Weather: In bad weather, it might give more power to help drivers get home safely, or less if the battery won’t work as well.
• Peak Periods: The system can change its limits if it’s a peak usage time, making sure as many cars as possible get a fair charge.

5. Centralized and Networked Control

Some of the controllers can be part of a bigger, central computer system (a “centralized management system”). This central system can talk to many sites at once, using the internet or other networks. It can share data, get updates on how busy each site is, and send out new charging rules as things change. This lets the whole network of charging sites work together, helping balance loads and serve more drivers across a region.

6. Using Machine Learning and Data

The system can use machine learning models trained on years of historical data. This lets it make smarter guesses about how many cars will show up, how much power to save, and when to change its rules. As more data comes in, the system gets even better at predicting demand and keeping everyone happy.

7. Communication with Drivers

If the system knows it has to limit charging (for example, during a grid outage), it can send messages to drivers who have reservations. It can tell them how much energy is available, so they know what to expect. If charging is limited, it can warn drivers ahead of time, reducing confusion and frustration.

8. Hardware and Software Integration

Behind the scenes, the system uses special controllers (computers with sensors and software) to run everything. These can be built into the charger, the main site computer, or even a remote server. The software manages the flow of energy, talks to other sites, and updates charging limits as new data arrives.

This invention is unique because it brings all these smart features together. It doesn’t just limit charging based on simple rules. It watches what’s going on, learns from the past, predicts the future, and adapts in real time. It keeps power flowing fairly, even in tough situations like blackouts or crowded peak periods. And it keeps both drivers and charging site owners in the loop.

Conclusion

Charging more EVs with limited energy is a growing challenge. This new patent application outlines a smart system that detects when there’s not enough grid power, predicts how many cars will need to charge, and divides the remaining battery energy fairly among them. It adapts to real-world changes like bad weather, busy hours, and holidays. The system can talk with other sites and a central manager, using machine learning to get better over time. By sharing information with drivers and making sure no one is left without a charge, this invention could help make electric vehicle charging more reliable and fair for everyone. For companies, cities, and drivers, it’s a big step toward a future where EVs are easy to own and use—no matter what’s happening on the grid.

Click here https://ppubs.uspto.gov/pubwebapp/ and search 20250214473.