If you have ever driven an electric vehicle, you might have felt the crippling anxiety that hits you when the battery indicator turns yellow, then red. Soon, the AC turns off to reserve the remaining energy in the battery. You start frantically looking around in search of a charger, any charger to get you out of this pickle. Sweat is running down your face (the useless AC definitely does not help) as you open one app on your phone - session expired! - and then another, while trying to stay on the road. Out of order, it says. Occupied, oh no! The car stops in the middle of the lane. You hear the honking of the horn from the car behind you as you ponder your life choices. Could there be an easier way to do this?
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Picture: EV Driver Experiencing Range Anxiety. Generated by ChatGPT 08.11.2024.
The short answer is yes, although we are not quite there yet (more on that later).
The infrastructure for electric vehicles has grown steadily, as more and more Charge Point Operators (or CPOs for short) join in on the fun to increase the size of the public charging network. According to Sustainability by Numbers, in 2023, there were about 10 EVs per public charger [1]. While more is definitely needed, the direction is right.
The core issue is not so much the number of chargers, but the quality of the network and the availability of chargers when you need them. To tackle this, digital transformation in general and artificial intelligence in particular have been used - and undoubtedly will be used even more - to enable smart solutions both to aid the drivers and to drive EV adaptation even further.
Below are some ways AI has been and can be used to stave off range anxiety and enhance the charging experience. Some solutions are built into the EVs themselves, while others are utilized on the grid level. There are also more and more digital solutions developed by e-Mobility Service Providers (EMSPs) that bring AI-enhanced features into the applications used by the drivers.
Advanced Range Prediction and Route Planning
AI can consider many things to calculate when and where a driver should charge. It can analyze energy efficiency, battery level, and the effect the current weather and elevation have on the range. It can even take into account the driver's daily routine, driving habits, and past charging events to offer a more accurate prediction.
AI-powered navigation also dynamically monitors the current traffic situation and the location of nearby chargers. If given a chance, it will get the driver to the right place at the optimal time.
Enhanced Real-Time Data
There are already services that show real-time charging station information, such as occupancy and condition of the chargers. However, with AI this data can be enhanced to include for instance predictions on when chargers will become available, as well as how busy a station might be at any given time. Reserving charging spots is also a functionality that is gaining interest, as it can eliminate the need to circle around looking for an available charger.
With AI it's also possible to anticipate when a station might need to be maintained, as it can spot unusual equipment performance and report malfunctions without delay.
Grid Optimization
As EVs become more mainstream, grid overloading can become an issue in some regions. Through smart load management and real-time load balancing, AI can respond to grid signals and manage and adjust the charging speeds of the plugged-in EVs based on their number [2]. By utilizing predictive analytics, peak demand times can be forecasted and power distributed accordingly.
Some solutions also aim to minimize costs for drivers by using AI-powered algorithms to calculate various charging schedules. These are not only based on arrival and departure times and energy demand but also on electricity cost based on the time of day [3]. By managing the demand and distribution of power, AI helps to bring reliability to the electricity supply, thus allowing drivers to charge whenever needed.
User Experience Improvement
EVs are becoming more and more ubiquitous across the globe and the need for multi-language support is ever-increasing. As the reliability of chargers is not yet at 100%, enabling the driver to effectively communicate with the charger and to interpret potential issues improves user experience and broadens the user base [4]. AI is the key here, bringing with it the possibility to effortlessly interact with drivers in multiple languages through real-time translation. Communication styles can even be adapted to follow various cultural norms and etiquette rules, enhancing cultural sensitivity.
To further improve the charging experience, AI can adapt the charging station interface to include the currencies, date formats, and measurement units of each user.
Are We There Yet?
As mentioned earlier, there is still some ground to cover before the charging experience, starting from experiencing that dreaded range anxiety all the way to happily driving out of the station, becomes a seamless experience. While the industry is still young and suffering from growing pains, it is developing at a rapid pace. The number of suppliers and service providers is growing. Standards and policies are crafted, and the overall cost of ownership and use is going down. Gradually we are moving towards a greener, cleaner destination. And AI with its endless possibilities to analyze, predict, personalize and enhance is the key in the proverbial ignition.
Great blog post with a captivating narrative. You introduced comprehensive knowledge about EVs and networks, and their current standing plus what the possibilities are, particularly with the help of AI. I do not own a car nor would I buy a fully electric one yet, but a few years ago I rented a Tesla in Finland – the entire time I was worried about all of the hassle with finding charging spots and whether the range would suffice. I am currently in Italy for my studies and the situation seems even worse; definitely not renting an EV here. Neither Finland or Italy are the top players in terms of EV infrastructure (https://insight.averna.com/en/resources/blog/11-countries-leading-the-way-in-ev-infrastructure#:~:text=France%20has%20one%20of%20the,which%20exceeds%20the%20global%20average).
ReplyDeleteYour blog post piqued my interest about the topic, hence the sharing of my experience and looking into EVs more, but moving back to your writing. The structure of your blog and the use of well laid-out examples helps the reader break down the information bit by bit, and the post gives hope about the future. The possibilities of enhanced real-time data were of particular interest, such as when chargers become available or reserving a charging spot, as this truly would help route planning and reducing stress. Surely there are challenges before we reach a full-fledged dream system but at least efforts are being made, assisted by tech.