Over the Air Software Update Realization within Generic Modules with Microcontrollers Using External Serial FLASH
Bibliographic record
Abstract
Connecting mobile communication channels to vehicles’ networks is currently attracting engineers in a wide range. Herein the desire of vehicle manufacturers to remotely execute software updates over the air (SOTA) within electronic control units (ECU) is probably the field of highest attention at the moment. Today software updates are typically done at vehicle service stations and connection the vehicles electronic network via the onboard diagnosis (OBD) interface to a service computer. Herby the duration of the update is invisible to the user, as this happens during standard service appointments. With introduction of SOTA, these updates become very convenient to the customer and can lead to higher customer satisfaction levels. SOTA can be made transparent to the user however the method of implementation can affect the user experience. Currently the range of solutions for data storage to address SOTA ranges from: 1 Central Storage Approach whereby external Non-Volatile Memory (NVM) at this device and distributed via the internal car networks to the respective module to be updated. 2 Localized storage external to the Microcontroller of the device being updated. 3 Localized storage within the Microcontroller with an “A/B Swap” with separate Linker Scripts 4 Localized storage internal to the Microcontroller of the device being updated supporting a so called “Ideal A/B Swap” approach. These solutions directly correlate with the duration of the switching time between software versions resulting in differing user experiences. In principle the closer the updated software is stored to the microcontroller, the shorter the time for the update. Additionally a solution may dictate as well new hardware capability in the microcontroller, i.e. the Ideal A/B Swap is the fastest approach and not all microcontrollers on the market today can support this method. A compromise to implement a convenient SOTA user experience is to have additional external serial non-volatile memory attached to the microcontroller within an electronic control unit. The duration and handling of the software update would still allow for a high customer satisfaction. The study starts with a short overview of the operation and activities for updating software within a vehicle. Next, a hardware and software architecture overview is given for the SOTA methods available. Followed by an in depth focus on the implementation method using external non-volatile memory at the microcontroller being updated. In conclusion performance analyses of the data flow for each of the solution from the central storage to the external non-volatile memory to the internal FLASH of the microcontroller. Herby the following aspects for implementation and performance measurements are considered: 1 Communication to central storage via the internal bus (CAN or CAN-FD) based on UDS 2 Security Aspects a Central Storage to external non-volatile FLASH b External non-volatile FLASH and internal FLASH c Image Check before update activation 3 Fall back scenarios
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".