Vehicle OTA Update Current Prediction for Battery-Safe Parallel Updates
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Solution Overview
Problem
Conventional over-the-air (OTA) update processes for vehicles often result in battery discharge during software updates, leading to the risk of the vehicle not turning on after the update, necessitating a method to prevent discharge and improve update efficiency.
Innovation Solution
An OTA update apparatus and method that calculates an expected update current consumption for vehicle controllers, determining an update factor proportional to this consumption, and proceeds with the update only if it is within a predetermined threshold, incorporating noise removal based on battery temperature and update data, and considering parallel updates between multiple controllers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If OTA update proceeds after vehicle is turned off, then software update can be performed, but battery discharge occurs and vehicle may not turn on after update
Solution Approach 1:
The system performs preliminary calculation of expected update current consumption before initiating the OTA update process. By predicting the current consumption based on historical data and update factors, the system determines in advance whether the battery can sustain the update process, preventing updates that would lead to insufficient battery power and vehicle failure to start.
2Productivity
If multiple controllers are updated in parallel, then update speed increases, but current consumption increases and battery discharge risk increases
Solution Approach 1:
The system dynamically adjusts the update strategy by calculating expected current consumption for parallel controller updates. Based on the calculated update factor and battery status, the system can adaptively determine the number of controllers to update in parallel, optimizing the balance between update speed and power consumption to prevent battery discharge.
3Speed
If update factor calculation is simplified, then processing speed increases, but accuracy of battery discharge prediction decreases
Solution Approach 1:
The system uses historical current consumption data from previous OTA updates as feedback to continuously improve the accuracy of expected current consumption calculations. By analyzing past update patterns and actual power consumption, the system refines its prediction model, achieving both processing efficiency and accurate battery discharge prediction.
Data Source
AI summary
An over-the-air (OTA) update apparatus includes a communication device that receives data for an OTA update of software for vehicle from a server and a processor that calculates an expected update current consumed by a controller loaded into a vehicle in an additional OTA update proceeding subsequently, based on current consumption consumed in an OTA update of the controller, determines an update factor to be proportional to the expected update current, and proceeds with the additional OTA update based on that the update factor is less than or equal to a predetermined threshold.