On May 4th, LI AUTO announced that in late April, partial updates of OTA V4.4.0 were pushed for the L series models, including the addition of Sentinel Mode Beta and Apple Watch and OPPO Watch control. LI AUTO explained in detail today the Apple Watch control function, let’s take a look together.
It is reported that the cellular version of Apple Watch supports remotely checking the battery life, charging status, as well as controlling core car functions such as locking/unlocking the car, authorizing driving, and turning on/off the air conditioning; the non-cellular version also supports these functions after connecting to a phone. The car control function only supports watchOS 5 and above.
As shown in the figure, you can adjust the car temperature, turn on/off the air conditioning, lock/unlock the car, and raise/lower the windows through the Apple Watch. You can also find your car with one click and authorize driving.
Currently, LI AUTO has started to push OTA 4.4 version of the car system to users of L9, L8, and L7 in delivery order. In addition, OTA 3.3 version of LI ONE will be officially pushed in mid-2023. The key updates are as follows:
- Added Sentry Mode (Beta)
- Added Apple Watch car control
- Added OPPO Watch car control and contactless Bluetooth key for smartwatch
- Models equipped with AD MAX intelligent driving system will have LKA Plus function. Enabling LKA function can achieve autonomous overtaking and lane changing on highways (LKA Plus function of AD Pro model is under development and validation, and will be upgraded via OTA in the future)
- Optimized gesture interaction experience of rear entertainment screen for L9 and L8
- Added seat massage control page for L8 and L7
- Added the ability to quickly initiate navigation and media control skills through LI voice assistant
- Added “Low-price Charging” and “Scheduled Charging” modes for charging reservation
The Sentry Mode updated by LI AUTO in this OTA is a highly requested feature by users. It can perceive the surrounding environment and vehicle status through visual algorithms and vibration detection, determine the risk level based on the vehicle condition, and issue warnings of different degrees accordingly.
