The Spring Festival is about to begin, and the owners of new energy vehicles must face another question: should I drive home?
Especially for car owners who have a long journey back home, there are a series of concerns behind this problem, such as:
Which route is the most convenient way to charge? Choosing a route is a big difficulty.
When is the safest time to charge? Charging more wastes time, and missing the charge is annoying.
How long does it take to line up for charging? In the unlikely event that the queue is far away, the duration of the trip may even double.
Although today's new energy vehicles have made great progress compared with the past, in fact, the above problems are still unavoidable, superimposed during the Spring Festival this year, encountered large-scale low-temperature freezing rain and snow weather, as well as possible high-speed traffic jams and other emergencies, vehicle energy consumption fluctuates greatly, and new energy vehicle owners are worried about returning home from long distances.
Suppose there is such a product, which can integrate energy consumption factors, accurately calculate the vehicle's endurance consumption, give a fine plan for long-distance charging routes, do not waste charging time, and do not need to worry about battery life, will this greatly enhance the confidence of new energy vehicle owners to return home?
Solving range anxiety with navigation?
It's not that easy to solve battery life anxiety.
Take charging waiting for an example. The owner finally found a suitable charging station before the power went off, and when he looked at the front, there were more than a dozen cars in line, but there were only two or three charging piles, so was it to wait or not?
Waiting means staying here for hours, planning to be home in the evening, but now staying up late to drive.
It is possible to find a suitable charging pile quickly, or it may have to queue up, or it is possible that the vehicle runs out of power before it reaches the next charging station, and it is more troublesome to park at the highway.
But if there is a navigation product, it can not only give the best ability to charge, but also show how many vehicles are in front of the queue and how long the queue is expected, which can help car owners make better decisions.
To do this, behind it is a complete set of system construction around the new energy battery life: it is important to know that new energy navigation is not simply the integration of charging pile data into the map navigation service, comprehensive charging pile and charging station real-time information is the foundation, in addition to the need for a set of deep learning models, can comprehensively calculate energy consumption data, charging efficiency, route planning, to provide new energy vehicle owners with a refined, personalized long-distance charging planning.
Recently, AutoNavi Map's "Warm Way Home" service plan was officially launched, which includes the world's first new energy navigation with self-learning ability, as well as the "Charging Map 2."0", providing more refined energy consumption calculation, route planning, charging timing prompts, and minute-level waiting time estimation services for the majority of new energy vehicle owners, helping to alleviate the "range anxiety" in the process of returning home from long distances.
Locate the scourge of energy consumption
The range of new energy vehicles is affected by multiple factors, such as slope, air temperature, air conditioning temperature, traffic congestion, etc., and there is often a difference between the theoretical range and the actual range. This is also one of the core reasons why the "range anxiety" of many new energy vehicle owners is difficult to alleviate.
AutoNavi's "self-learning energy consumption model" is developed to solve this problem, which can take into account all aspects of energy consumption influencing factors, including slope changes, temperature changes, road condition changes, etc., to help new energy vehicle owners more accurately understand the range status, so as to evaluate more suitable routes and charging timing. And as the number of users using the navigation service increases, the calculation of the model will be more accurate.
For example, when new energy vehicle owners plan long-distance routes of more than 200 kilometers, the outbound and return journeys at the same time will be affected by the slope, resulting in different energy consumption, and AutoNavi Map will give different routes.
In addition, the impact of temperature on the range of new energy vehicles is also calculated in real time. For similar distances, the north with lower temperature and the south with higher temperature, new energy navigation will also give corresponding planning routes.
In addition to accurate energy consumption calculation, the emergence of new energy navigation also benefits from the 20 years of ETA capabilities accumulated by AutoNavi Map - based on the industry's leading spatio-temporal algorithm technology, AutoNavi Map's newly upgraded AutoNavi ETA (Planning Time) can combine real-time analysis of traffic conditions to provide users returning home with more accurate travel time and road condition prediction, and can achieve minute-level high-frequency updates.
Combined with the self-learning energy consumption mode, a highly innovative new energy navigation product logic in the industry was established.
Goodbye, charging blind box
"New energy navigation" must complement each other with "charging map", just as new energy vehicles cannot do without charging piles.
The newly upgraded AutoNavi "Charging Map 2"0" aggregates hundreds of charging station brands such as State Grid, China Southern Power Grid, Tesla, Special Call, Star Charging, etc., covering more than one million charging piles. For example, Tesla has opened more than 350 super charging stations and more than 250 destination charging stations to multi-brand models on the AutoNavi charging map.
This time AutoNavi charging map 20 also launched the "Preferred Power Station" service: through a comprehensive analysis of seven dimensions of data such as charging station scale, parking fee information, interface stability, charging pile heartbeat data, etc., it is evaluated to deal with the quality and experience of charging stations across the country, so that users can "find a good pile" to become more convenient; AutoNavi charging map also configures high-power supercharging stations with an overcharging logo, which is displayed in prominent red for the convenience of car owners in need.
However, "finding a good pile" is one thing, and finding a "good pile" is another pain point for the majority of car owners. To this end, AutoNavi charging map 20 online charging station queue**, let go to the charging station to say goodbye to the "open blind box".
The service is generated based on the charging data and navigation data of AutoNavi map. Nowadays, when users search for charging station details on AutoNavi Map, navigate to or pass by charging stations, they can not only understand the use status of charging piles, but also give queuing time** if there are no idle charging piles, which can be accurate to the minute level. At the same time, the charging map can also recommend other optional charging stations for car owners, and plan charging routes more reasonably.
In 2023, the supply and sales of new energy vehicles in China will be booming. According to the data released by the China National Association, the sales of new energy vehicles reached 949 in the past year50,000 units, a year-on-year increase of 379%。At the same time, this year's Spring Festival will also show significant structural changes, according to the Ministry of Transport, this year's Spring Festival will have 7.2 billion people belong to self-driving travel, a record high - for the new energy vehicles that are getting better, this year's Spring Festival is a year-end road test "big test".
In the long run, the results of this long-distance road test rely on the technological breakthrough of power batteries and the improvement of the national charging infrastructure. However, now, perhaps a new energy navigation and charging map integrated service with a better experience, as well as the travel algorithm technology behind it, have also become necessary considerations.
Leifeng.com article.