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Tesla includes tire pressure and other consumption in the calculation of autonomy

In future updates, Tesla will modify the calculation of the remaining range in the batteries of their electric cars with the addition of new energy consumption that influences it. This seems to be deduced from the reading of the code of your software carried out by a known hacker “green” that has already found on other occasions functions that Tesla was preparing before its official announcement. In this case it seems that the software will take into account the tire pressurethe system battery air conditioning before loading and even recharge a mobile phone.

The remaining autonomy calculations are complicated to carry out both for the case of an electric car and for a combustion car. The parameters that affect consumption are so many and so variable that the errors in these algorithms can be considered common. However, it is very important that it be as accurate as possible to eliminate the famous “anxiety of autonomy”. Despite Tesla’s software expertise, it still makes mistakes in energy consumption during a trip. And it does so especially in winter, when environmental factors have a great influence and are difficult to quantify.

To the enter a destination into the navigation system, the Tesla software performs the relevant calculations to report the percentage of battery remaining at the end of the trip and at the intermediate charging points. The route is calculated based on the recharging needs and includes the duration of the stop times in each of them. It is one of the software that offers the most information, since it uses both the information of the car and that of the Superchargers.

autonomy calculation algorithm tesla tire-interior pressure
When entering a destination, the Tesla software performs the calculations and reports the percentage of battery remaining at the end of the trip and at the intermediate charging points, since the route is calculated based on the charging needs, including stop times.

In 2018, Tesla already added factors as important as the orography (ascents and descents on the route) and some local climate conditions. All this helped to improve the calculation, but it was still inaccurate, because it depends on the speed at which you drive, the environmental conditions, the traffic conditions and other factors that influence efficiency. While these factors may seem like a small percentage of the difference on some long trips, they can be significant. That is why Tesla continues to improve its algorithms by including more data and using it as conveniently as possible to refine the calculation.

In May this year, it added more weather-related parameters to estimate consumption: crosswind, headwind, humidity and ambient temperature, according to local forecasts.

Now, and according to information from a known “green” hacker” which is common when it comes to gutting the code of Tesla algorithms, new parameters are going to be included that may be important when it comes to offering a more exact figure in the calculations.

Several criteria are added to the code that, although by themselves may not have a great influence on energy consumption, all together can affect the final result. One of them is the tire pressure, which has not been taken into account until now. However, it is known that under-inflated tires are less efficient.

Another parameter that is strange that until now has not been taken into account is the preheating and cooling of the battery before reaching a Supercharger. An operation that, especially in the case of very cold areas, entails significant energy consumption for the system and that from now on will become part of the calculation. Taking this consumption into account could solve the range calculation errors in winter that many Tesla owners have complained about.

Lastly, a factor that should have very little importance is that you take into account whether or not to put charge a mobile phone.

These changes are posted as part of the tesl software update 2022.20.7because it is gradually being implemented in the vehicle fleet.

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