| Sub-func | Name | Action |
|---|---|---|
| 0x01 | startRoutine | Start execution; may return immediately or after completion |
| 0x02 | stopRoutine | Stop a running routine (e.g., motor actuation test) |
| 0x03 | requestRoutineResults | Poll for result of async routine started with 0x01 |
0x31 RoutineControl Service Structure
EraseMemory Routine (0xFF 0x00)
#!/usr/bin/env python3
# 0x31 0x01 0xFF 0x00: Erase Memory routine
import udsoncan, time
from udsoncan.client import Client
def erase_flash_block(client, start_addr: int, length: int):
# Routine 0xFF00: EraseMemory (OEM-standard; address/length as parameters)
routine_params = bytes([
(start_addr >> 24) & 0xFF,
(start_addr >> 16) & 0xFF,
(start_addr >> 8) & 0xFF,
(start_addr >> 0) & 0xFF,
(length >> 24) & 0xFF,
(length >> 16) & 0xFF,
(length >> 8) & 0xFF,
(length >> 0) & 0xFF,
])
print(f"Erasing 0x{start_addr:08X}..0x{start_addr+length-1:08X} ({length//1024} kB)...")
resp = client.routine_control(0x01, 0xFF00, routine_params)
# Expect NRC 0x78 while erasing (can take 1–30s per block)
# udsoncan library handles 0x78 polling automatically via response_pending config
if resp.positive:
print(f"Erase complete: result={resp.service_data.routine_status_record.hex()}")
return True
else:
print(f"Erase FAILED: NRC 0x{resp.code:02X}")
return False
# Usage:
# erase_flash_block(client, 0x80080000, 0x00780000) # application blockCheckProgrammingDependencies Routine (0xFF 0x01)
| Check | What ECU Validates | Failure Response |
|---|---|---|
| Software compatibility | SBL version compatible with new application | NRC 0x22 (conditions not correct); abort reprogramming |
| CRC/hash integrity | All downloaded blocks have matching checksums | NRC 0x72 (generalProgrammingFailure); re-download failed blocks |
| Memory bounds | All blocks fit within declared flash regions | NRC 0x31 (requestOutOfRange) |
| Calibration compatibility | New application can work with existing calibration version | NRC 0x22; may require calibration update in same session |
Custom Routine Use Cases
| Routine | ID (example) | Use Case |
|---|---|---|
| ECU Self-Test | 0x01 0x00 | Run ECU internal diagnostics; return PASS/FAIL |
| Fuel Trim Reset | 0x02 0x00 | Reset learned fuel trim values to factory defaults |
| Fan Actuator Test | 0x03 0x10 | Run cooling fan for 5s; verify feedback signal |
| Key Programming | 0x04 0x00 | Store new vehicle key fingerprint in ECU |
| EOL Activation | 0xDE 0xAD | One-time production activation; locks vehicle-specific parameters |
Summary
RoutineControl is the most flexible UDS service — a general-purpose RPC mechanism. The standard reprogramming routines (EraseMemory 0xFF00, CheckProgrammingDependencies 0xFF01) are defined per OEM but follow a consistent pattern: long-running operations return NRC 0x78 while executing and a positive response on completion. Custom routines are the primary integration test tool: an EOL fan test routine (start, run 5s, stop, check feedback) replaces a manual test step and ensures consistent coverage across every produced unit.
🔬 Deep Dive — Core Concepts Expanded
This section builds on the foundational concepts covered above with additional technical depth, edge cases, and configuration nuances that separate competent engineers from experts. When working on production ECU projects, the details covered here are the ones most commonly responsible for integration delays and late-phase defects.
Key principles to reinforce:
- Configuration over coding: In AUTOSAR and automotive middleware environments, correctness is largely determined by ARXML configuration, not application code. A correctly implemented algorithm can produce wrong results due to a single misconfigured parameter.
- Traceability as a first-class concern: Every configuration decision should be traceable to a requirement, safety goal, or architecture decision. Undocumented configuration choices are a common source of regression defects when ECUs are updated.
- Cross-module dependencies: In tightly integrated automotive software stacks, changing one module's configuration often requires corresponding updates in dependent modules. Always perform a dependency impact analysis before submitting configuration changes.
🏭 How This Topic Appears in Production Projects
- Project integration phase: The concepts covered in this lesson are most commonly encountered during ECU integration testing — when multiple software components from different teams are combined for the first time. Issues that were invisible in unit tests frequently surface at this stage.
- Supplier/OEM interface: This is a topic that frequently appears in technical discussions between Tier-1 ECU suppliers and OEM system integrators. Engineers who can speak fluently about these details earn credibility and are often brought into critical design review meetings.
- Automotive tool ecosystem: Vector CANoe/CANalyzer, dSPACE tools, and ETAS INCA are the standard tools used to validate and measure the correct behaviour of the systems described in this lesson. Familiarity with these tools alongside the conceptual knowledge dramatically accelerates debugging in real projects.
⚠️ Common Mistakes and How to Avoid Them
- Assuming default configuration is correct: Automotive software tools ship with default configurations that are designed to compile and link, not to meet project-specific requirements. Every configuration parameter needs to be consciously set. 'It compiled' is not the same as 'it is correctly configured'.
- Skipping documentation of configuration rationale: In a 3-year ECU project with team turnover, undocumented configuration choices become tribal knowledge that disappears when engineers leave. Document why a parameter is set to a specific value, not just what it is set to.
- Testing only the happy path: Automotive ECUs must behave correctly under fault conditions, voltage variations, and communication errors. Always test the error handling paths as rigorously as the nominal operation. Many production escapes originate in untested error branches.
- Version mismatches between teams: In a multi-team project, the BSW team, SWC team, and system integration team may use different versions of the same ARXML file. Version management of all ARXML files in a shared repository is mandatory, not optional.
📊 Industry Note
Engineers who master both the theoretical concepts and the practical toolchain skills covered in this course are among the most sought-after professionals in the automotive software industry. The combination of AUTOSAR standards knowledge, safety engineering understanding, and hands-on configuration experience commands premium salaries at OEMs and Tier-1 suppliers globally.