Tesla has incorporated new variables to calculate the remaining autonomy more realistically. Here are some of the main keys.
When calculating the autonomy of a car, a prediction has always been made based, above all, on fuel consumption. On certain occasions, other additional parameters have been introduced, but the base has always been the same. The calculation of the pattern of consumption has made it possible to determine to what extent is it possible to enjoy more or less kilometers To make. This, in an electric vehicle, is even more relevant for a particular reason.
Every extra kilometer that can be driven can have a differential importance. This is so due, mainly, to the limitation that exists in terms of autonomy. However, this is not the only reason. It’s important to put attention on the presence of charging stations is very limited yet, so having a reliable estimate can be of great importance. As you well know, there are many variables that can affect the total figure.
Tesla, one of the leading manufacturers in sustainable mobility, has the vehicles with the greatest autonomy on the market. In addition, the predictions regarding this metric will be even more exact over the coming months. This is so due to the incorporation of measurement units for some parameters that are highly relevant. Being able to introduce aspects such as wind speed or air density into the algorithm can be used to better estimate autonomy.
This has been possible thanks to the multiple studies carried out by Tesla for some time. As can be read on the specialized portal Electrek, the Palo Alto-based company you are already adding this kind of metrics to your artificial intelligence system. In this way, the user will be able to count on even more precise information, which will contribute to making decisions regarding the stops to be made.
Let us see, therefore, what the innovations introduced consist of, why we are faced with a differential proposal regarding the calculation of the available autonomy and, of course, why it can be a fundamental element in the calculation of the electrical energy available for consumption.
Tesla and the inclusion of new variables for the calculation of autonomy
The lower autonomy present in the car and the absence of a large number of charging ports are its main drawbacks in terms of growth in the sector. Having much more reliable information about its potential use would allow the user to choose loading times and times more accurately. After all, anxiety about being able to charge the electric vehicle is one of the most prominent problems faced by the consumer of this technology.
It should be noted that in 2018 the company already introduced some key elements, such as the weather or changes in terrain elevation. This, however, will allow even more precise estimates to be made, since they are components that can have a very notable impact on autonomy throughout a complete charging cycle. Apparently the new metrics are available via software update 2022.8.2.
The presence of gusts of wind crossed or in the opposite direction to that of the march or the presence of a certain humidity are factors that can reduce the information by a few percentage points that was shown conventionally. Thanks to this new invoice technology, it will be possible to make more cautious estimates, which will prevent more than one Tesla from being ‘thrown away’ for having completely discharged its battery.
A technology only available, for the moment, in China
As can be seen in the medium described above, we are faced with a solution that, at the moment, is only being tested in China. However, it is expected that over the next few weeks this update will be released in other areas with the aim of improve the operation of the hundreds of thousands of vehicles that the company has delivered over the last few years.
This measure will be of great importance for understanding the company’s competitiveness in the medium and long term. Ultimately, security is an essential factor to take into account in everything that refers to sustainability and avoiding anxiety in the driver is a first level step to achieve it. Well, will it greatly affect consumption?
Everything will depend on the incidence that this variable may have in the future. However, bearing in mind that we are facing a technology with a great capacity for adaptation when it comes to incorporating news, it seems likely that the data to be displayed on the screen will be more negative. This will allow you to become familiar with more realistic records in terms of the maximum number of kilometers to cover.
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