Overview
Calibration is the process of tuning ECU parameters to achieve optimal vehicle performance. From engine maps to ADAS thresholds, calibration engineers bridge the gap between software algorithms and real-world behavior.
This course covers the complete calibration ecosystem: XCP (Universal Measurement & Calibration Protocol), A2L descriptor files, calibration tools (INCA, CANape), and systematic calibration methodologies.
With practical exercises in parameter tuning, measurement configuration, and calibration data management, you'll gain the skills needed for powertrain, chassis, and ADAS calibration roles.
Course Modules
1
Calibration Fundamentals
What is ECU Calibration?FREE PREVIEW
35 min read
▸ Calibration vs. software: application code defines algorithm structure; calibration tunes parameters (scalars, curves, maps) without recompile - separation of concerns enforced by A2L + XCP
▸ Parameter types: scalar (single value, e.g., IDLE_RPM = 800), curve (1D lookup, e.g., torque vs. throttle), map (2D table, e.g., ignition timing vs. RPM × load) - stored separately from code
▸ Calibration domains: powertrain (fuel injection, ignition timing, idle control), chassis (ABS/ESC thresholds, damper gains), ADAS (object confidence thresholds, sensor fusion weights)
▸ ECU memory split: ROM/Flash holds reference (released) parameter set; RAM holds working page - tool writes to RAM during session; Flash programmer burns final validated dataset
Calibration in the V-CycleFREE PREVIEW
40 min read
▸ Pre-calibration (MiL/SiL): algorithm developed in Simulink, parameter ranges defined in model - MiL/SiL testing validates algorithm shape and sensitivity before hardware availability
▸ Rapid prototyping: ETAS ES system or dSPACE MicroAutoBox in bypass mode - engineer calibrates parameters at full vehicle speed without ECU reflash; fast iteration loop
▸ ECU calibration phase: production ECU with XCP access - dyno and road calibration, writing parameter values to working RAM page, validating against acceptance criteria
▸ Release: validated dataset compiled to .dcm/.cdf, flashed to production ECU - full change history stored in CDM system; dataset signed off before SOP
Parameters, Maps & Curves
45 min read
▸ Scalar CHARACTERISTIC: single value at fixed ECU RAM address (e.g., IDLE_RPM_TARGET = 800) - written via XCP DOWNLOAD; type VALUE in A2L
▸ Curve (1D): array of Y values indexed by one axis (e.g., throttle_torque_map[throttle_pct]) - axis breakpoints define interpolation grid; type CURVE in A2L with AXIS_PTS reference
▸ Map (2D): matrix with two axes, e.g., ign_timing[rpm][load] - 16×16 = 256 cells typical; calibration tool renders as 3D surface plot; type MAP in A2L
▸ Bilinear interpolation: ECU interpolates between four neighbouring cells at runtime - axis resolution vs. ROM cost trade-off: 32×32 map = 4× more cells than 16×16
Measurement & Calibration Concepts
40 min read
▸ MEASUREMENT variable: ECU internal variable (lambda_actual, boost_mbar) sampled directly from RAM via XCP DAQ - not a CAN signal; tool reads raw bytes and applies COMPU_METHOD formula
▸ XCP DOWNLOAD vs. UPLOAD: DOWNLOAD writes new parameter value to ECU RAM (calibration); UPLOAD reads current ECU RAM value back to tool (verification) - always verify after download
▸ Working page vs. reference page: reference = Flash-burned baseline (read-only); working = RAM copy of reference (modifiable) - XCP SET_CAL_PAGE switches active page per segment
▸ COPY_CAL_PAGE: copies validated working page to Flash reference - minimises flash write cycles during iterative calibration; use only when session results are confirmed acceptable
Hands-On: First Calibration Session
50 min read
▸ Setup: connect ETAS INCA to bench ECU via USB-to-CAN (ES592) interface, load A2L file, establish XCP/CAN connection, verify CONNECT response 0xFF
▸ Measurement list: add engine_rpm, coolant_temp, lambda_actual to workspace, set 10ms DAQ cycle, start recording - verify live values match sensor readings
▸ Parameter change: modify IDLE_RPM_TARGET scalar from 800 to 850 via calibration editor - observe measurement window showing idle RPM change within 500ms
▸ Session close: ECU reset confirms working page reverts to reference (RPM returns to 800) - demonstrates RAM-only change; use COPY_CAL_PAGE to persist the new value
2
XCP Protocol Deep Dive
XCP Architecture & Commands
50 min read
▸ XCP master/slave model: calibration tool (master) initiates all transactions; ECU (slave) responds - slave never sends unsolicited data except pre-configured DAQ packets
▸ Packet structure: first byte = CMD (0xFE = CONNECT, 0xF6 = DOWNLOAD, 0xE2 = DAQ_UPLOAD) + payload; positive response = 0xFF first byte; error response = 0xFE + error code
▸ Core command sequence: CONNECT → GET_COMM_MODE_INFO → SET_MTA(address) → UPLOAD (read) / DOWNLOAD (write) → SET_CAL_PAGE → COPY_CAL_PAGE - full calibration session flow
▸ Address extension: (address, address_extension) pair references ECU memory space - extension value maps to address space (0 = Flash, 1 = RAM, 2 = peripheral) - ECU-specific, defined in A2L
XCP on CAN, Ethernet, and SPI
45 min read
▸ XCP/CAN: two static CAN IDs - CAN_ID_MASTER (tool→ECU commands) and CAN_ID_SLAVE (ECU→tool responses/DAQ) - both defined in A2L XCP_ON_CAN section; 8-byte payload limits DAQ packet size
▸ XCP/ETH: TCP or UDP transport - configurable MAX_CTO and MAX_DTO up to 65535 bytes enabling high-channel-count DAQ at kilohertz rates without CAN bus load constraint
▸ XCP/SPI: internal ECU-to-ECU calibration without CAN - byte-synchronous framing, chip-select per slave, no IP stack overhead; used on multi-core SoC with separate measurement processor
▸ MAX_CTO / MAX_DTO tuning: increasing DTO size reduces per-sample DAQ overhead for high-channel-count sessions; A2L IF_DATA XCP_ON_ETH_IP block defines these values per transport
DAQ (Data Acquisition) Mode
40 min read
▸ DAQ list structure: named set of MEASUREMENT variables + ECU event channel (task trigger) + optional timestamp - master allocates via ALLOC_DAQ / ALLOC_ODT / ALLOC_ODT_ENTRY commands
▸ Event channels: tied to ECU task cycles (event_10ms, event_100ms) - each DAQ list assigned to one event; ECU samples all variables in the list on that task tick
▸ Static vs. dynamic DAQ: static DAQ pre-defined in A2L IF_DATA XCP section (fixed variable groups); dynamic DAQ allocated at runtime - dynamic allows arbitrary grouping without A2L change
▸ DAQ overrun detection: sequence counter gap in received packets identifies dropped samples - resolve by reducing channel count, increasing event period, or switching to XCP/ETH for higher throughput
STIM (Stimulation) Mode
35 min read
▸ STIM purpose: master drives ECU input variables in real time - bypass mode where Simulink model on PC replaces ECU algorithm output; ECU reads stimulated value instead of computing
▸ STIM list: same structure as DAQ list - event channel defines write rate; master sends STIM packet to ECU; ECU reads stimulated_value on that event tick instead of its own algorithm result
▸ Bypass pattern: ECU checks bypass_flag MEASUREMENT variable; if set, reads stimulated_torque_request from STIM; if clear, uses own computed value - enables software-in-the-loop on real ECU
▸ STIM latency budget: PC model cycle + USB/CAN transfer + ECU task read = total bypass latency - XCP/ETH recommended for < 2ms loops; CAN-based STIM suitable for ≥ 10ms algorithms only
Page Switching & Calibration Concepts
45 min read
▸ Two-page model: WORKING page (RAM - engineer modifies here) vs REFERENCE page (ROM/Flash - original OEM values); ECU algorithm reads from whichever page is active; tool always writes to WORKING page regardless of active page setting
▸ SET_CAL_PAGE (0xEB) command: segment number + page number + mode byte (0x01 = ECU-side active, 0x02 = XCP master-side, 0x80 = all segments) - ECU switches which data block its calibration reads come from; used to compare WORKING vs REFERENCE live
▸ COPY_CAL_PAGE (0xEC): copies contents of one page to another within a segment - promotes WORKING page edits into REFERENCE page (triggers flash write on ECU side); also used to reset WORKING page back to REFERENCE values after bad calibration
▸ Init-on-reset behaviour: unless NvM shadow RAM is used, ECU reloads REFERENCE page values on every reset - calibration changes in WORKING page are lost; engineer must issue COPY_CAL_PAGE (WORKING→REFERENCE) before ECU reset to persist changes
Hands-On: XCP Communication Setup
60 min read
▸ XCP slave stack configuration (PEAK XCON / Vector XL): set COM_CHANNEL, MAX_CTO=8 (CAN) or 64 (CAN-FD), MAX_DTO=8, SEED_KEY=off for development, PAGE_PROCESSOR enabled; compile with Xcpbasic.c/XcpProf.c; verify CONNECT response (0xFF 0x00) in XCP trace
▸ CANape project setup: New Device → XCP on CAN, assign A2L, set bit-rate 500 kbps, CAN-ID master/slave (e.g. 0x600/0x601); confirm CONNECT in XCP console; check GET_STATUS response shows calibration and DAQ processor ready
▸ DAQ session verification: create measurement window, drag engine_speed and coolant_temp signals, start ECU, arm DAQ list - confirm oscilloscope trace updates at configured ODT event rate (e.g. 10 ms); check timestamp counter wrap is handled correctly by tool
▸ Common pitfalls: seed/key plugin mismatch → CONNECT returns 0x29 ACCESS_LOCKED; swapped CRO/DTO CAN IDs → no CONNECT response; BYTE_ORDER mismatch in A2L (INTEL vs MOTOROLA) → mangled signal values; ECU_ADDRESS pointing to wrong memory section → write has no effect
3
A2L Files & Data Description
A2L File Structure & Syntax
50 min read
▸ Top-level hierarchy: /begin PROJECT → /begin MODULE → header sections (IF_DATA XCP, MOD_COMMON, MOD_PAR) followed by CHARACTERISTIC / MEASUREMENT / COMPU_METHOD / RECORD_LAYOUT / AXIS_PTS object blocks; only one PROJECT and one MODULE per file in most tools
▸ Keyword syntax rules: /begin OBJECT_TYPE NAME starts a block; properties follow on subsequent lines as keyword-value pairs; /end OBJECT_TYPE closes it; names are case-sensitive C-style identifiers; inline comments use /* */ or // (ASAP2 v1.6+)
▸ IF_DATA XCP block inside MODULE: declares transport layer parameters (CAN_ID_BROADCAST, CAN_ID_MASTER, CAN_ID_SLAVE, BAUDRATE) that link A2L to the physical ECU - INCA and CANape parse this block to auto-configure the XCP channel when importing the A2L
▸ MOD_COMMON section: BYTE_ORDER (INTEL = little-endian, MOTOROLA = big-endian), ALIGNMENT_BYTE/WORD/LONG (struct packing rules matching compiler settings), DATA_SIZE - these are global defaults overridden per-object in RECORD_LAYOUT; wrong BYTE_ORDER causes inverted multi-byte values
CHARACTERISTIC, MEASUREMENT, COMPU_METHOD
45 min read
▸ CHARACTERISTIC types: VALUE (scalar), CURVE (1D map with one axis), MAP (2D lookup table), VAL_BLK (flat array), ASCII (text string) - each requires ECU_ADDRESS (hex), RECORD_LAYOUT ref, COMPU_METHOD ref, LOWER_LIMIT / UPPER_LIMIT bounds for safety clamping
▸ MEASUREMENT object: ECU_ADDRESS + DATATYPE (UBYTE, SWORD, FLOAT32_IEEE, etc.) + COMPU_METHOD ref + RESOLUTION (LSB per bit) + display limits - declared read-only; tool reads via DAQ polling or single XCP UPLOAD; no page-switching affects MEASUREMENT reads
▸ COMPU_METHOD types: IDENTICAL (raw = physical), LINEAR (physical = a×raw + b, e.g. temperature = 0.1×raw − 40), RAT_FUNC (rational polynomial for oxygen sensor curve), TAB_VERB (enum: 0→"OPEN" / 1→"CLOSED"), TAB_INTP (interpolated lookup table for non-linear sensor)
▸ Cross-references: CHARACTERISTIC CONVERSION field names a COMPU_METHOD; AXIS_DESCR inside CURVE/MAP refers to an AXIS_PTS object (shared axis) or uses FIX_AXIS (inline fixed values); circular or missing references cause A2L load failure - A2L Checker flags broken links before tool import
Record Layouts & Memory Mapping
40 min read
▸ RECORD_LAYOUT definition: specifies byte arrangement of calibration parameter in memory - FNCS_VALUES (position of actual values), AXIS_PTS_X/Y (position of axis arrays), NO_AXIS_PTS_X/Y (position of axis size counters), each entry specifying position number, data type, BYTE_ORDER, ADDR_TYPE (DIRECT/PBYTE/PWORD/PLONG)
▸ Position numbering: sequential integers from 1 per layout element; tool computes byte offset of each element from ECU_ADDRESS - MAP object size = NO_AXIS_PTS_X × NO_AXIS_PTS_Y × sizeof(FNCS_VALUES datatype); any position number gap causes wrong value addresses
▸ Common pre-defined layouts: _UBYTE_Z (scalar uint8), _UWORD_Z (uint16), _FLOAT32_IEEE_Z (float scalar), _UWORD_X_UWORD_Z (1D curve with uint16 axis), _UBYTE_X_UBYTE_Y_UBYTE_Z (2D map all bytes) - defined once in A2L and reused across multiple CHARACTERISTIC objects
▸ MAP file verification: A2L ECU_ADDRESS must exactly match linker symbol address - off by 1 byte corrupts every write; automate validation with Python script parsing .map file → compare symbol addresses to A2L ECU_ADDRESS fields before first calibration session on new software build
ASAP2 Standard Compliance
35 min read
▸ ASAP2 standard versions: v1.31 (legacy CCP era), v1.5.1 (widely deployed), v1.6.1, v1.7.1 (current - adds INSTANCE, TRANSFORMER, OVERWRITE keywords); version declared in ASAP2_VERSION header; older tools silently reject unknown v1.7 keywords - always test A2L against target tool version
▸ Mandatory vs optional keywords: for CHARACTERISTIC - LONG_IDENTIFIER, ECU_ADDRESS, DEPOSIT (ABSOLUTE/DIFFERENCE), RECORD_LAYOUT ref, LOWER_LIMIT/UPPER_LIMIT are mandatory; missing one causes parse failure; optional keywords (FORMAT, PHYS_UNIT, EXTENDED_LIMITS, BIT_MASK) are silently ignored by tools that don't recognise them
▸ A2L validation tools: Vector A2L Checker (standalone), ETAS A2L Editor validation mode, CANape A2L import log - check referential integrity (all RECORD_LAYOUT and COMPU_METHOD references resolve), duplicate object names, ECU_ADDRESS overlaps between two CHARACTERISTICs, keyword spelling errors
▸ IF_DATA compliance: non-standard vendor extensions placed inside IF_DATA blocks with vendor prefix (e.g. /begin IF_DATA INCA … /end IF_DATA) - tools skip unknown IF_DATA vendor blocks preserving forward compatibility; INCA and CANape each use proprietary IF_DATA sections for display groups, access levels, and parameter annotations
Hands-On: A2L File Creation
55 min read
▸ Starting point: obtain linker MAP file - identify calibration section (.cal_data / .calib) symbols with hex addresses; identify measurement variables in .bss/.data section; use nm or objdump to extract symbol names and sizes into a CSV for scripted A2L generation
▸ CHARACTERISTIC skeleton: symbol "engine_idle_rpm_map" at 0x20001000, type MAP, RECORD_LAYOUT _UWORD_X_UWORD_Y_UWORD_Z, ECU_ADDRESS 0x20001000, LOWER_LIMIT 500.0 / UPPER_LIMIT 3000.0, CONVERSION CM_RPM - axis sizes must match C array dimensions [16][16]
▸ INCA import workflow: File → Import A2L, select .a2l file; INCA validates on import - red exclamation marks flag address conflicts or missing RECORD_LAYOUT references; fix A2L source, re-import; green checkmark on all objects = ready for calibration session
▸ Round-trip verification: measure raw_engine_speed MEASUREMENT signal in INCA - check displayed physical value matches oscilloscope reading (validates ECU_ADDRESS and COMPU_METHOD); modify idle_rpm_setpoint CHARACTERISTIC, write to ECU, observe RPM change - confirms address, layout, and byte order are all correct
4
Calibration Tools
ETAS INCA - Complete Walkthrough
55 min read
▸ INCA workspace architecture: Database (.db - stores A2L + calibration datasets), Experiment (links hardware interface + A2L + active dataset), Workspace (collection of experiments) - understanding this three-layer hierarchy prevents wrong-ECU / wrong-dataset mistakes during session
▸ Hardware configuration: INCA Hardware Catalog → add ES600 module or PEAK USB-CAN adapter → assign CAN channel + XCP CAN ID + bit-rate; test connection with ECU ping; assign ECU Description (A2L) from database to the hardware device
▸ MDA (Measurement Data Analyzer): post-processing .mf4 recordings - load file, overlay multiple signals on time axis, use cursor pair to measure delta values, export to CSV/MAT for MATLAB; programmatic MDA access via MATLAB mdf4 API for automated data analysis pipelines
▸ Dataset management: calibration datasets stored as .CDF internally - create baseline dataset, branch into variant dataset, use diff view to highlight changed parameters vs baseline; export as CDF, MCD-2 MC, or DCM format for supplier or OEM exchange and CDM system import
Vector CANape - Measurement & Calibration
55 min read
▸ CANape device concept: each ECU is one device with assigned A2L + transport channel (XCP/CAN, XCP/ETH, CCP) - multi-ECU projects create multiple devices; signals from different ECUs combined in one time-synchronized BLF/MF4 recording with hardware timestamp alignment
▸ Script automation: CASL (CANape Script Language) - write .casl scripts for automated calibration sequences: Connect(), SetValue("idle_setpoint", 800), StartMeasurement(), Wait(30000), StopMeasurement(), Disconnect(), LogResult(); integrate into CANalyzer test nodes or run standalone for regression calibration
▸ Graphic windows: oscilloscope (real-time time-domain trace), histogram (distribution of measurement), 3D map editor (live calibration map with active-cell highlight as ECU inputs change), scatter XY plot - all data sourced from DAQ at configured ODT event rate
▸ Flash programming integration: CANape can flash ECU via CAN/ETH bootloader before XCP session - File → Flash Programming → select Intel HEX/S-Record; executes unlock + erase + program + verify + reset sequence; auto-reconnects XCP after flash for immediate calibration start
Calibration Data Management (CDM)
45 min read
▸ CDM concept: decouples calibration data (parameter values) from application code (binary) - calibration engineer owns data; software engineer owns code; enables parallel development branches and independent release of data variants for regional markets, fuel grades, and homologation variants
▸ CDM tools and formats: ETAS CDM Studio, PTC Integrity, DOORS integration - data stored in DCM (Data for Calibration and Measurement) text format or binary CDF; version-controlled independently from AUTOSAR ARXML or source code in a dedicated data repository
▸ Variant management: production vehicle has dozens of calibration variants - CDM tool maintains variant tree with inheritance (child variant inherits parent parameter values unless overridden); diff/merge workflow for calibration engineers; OEM-Supplier interface defines which parameters supplier may modify vs OEM-locked
▸ Data release workflow: calibration dataset review → functional validation on HIL → freeze (lock against further edits) → digital signature → package into software delivery for flash; audit trail records who changed each parameter, when, and the justification - required evidence for emissions homologation and functional safety reviews
Hands-On: Tool-Based Calibration Project
65 min read
▸ INCA project setup: create experiment for idle speed controller ECU, import A2L with idle_setpoint (CHARACTERISTIC VALUE) and actual_idle_speed (MEASUREMENT), configure ES592 CAN interface, set XCP CAN IDs, verify XCP CONNECT in INCA monitor before starting session
▸ Live calibration procedure: start measurement, open idle_setpoint in editor panel (displays current ECU value = 750 rpm), edit to 800 rpm, click Write - observe actual_idle_speed MEASUREMENT tracking new setpoint within 2–3 seconds (PID controller settling time); revert with COPY_CAL_PAGE to test reference page
▸ CANape comparison exercise: same project in CANape - create device, import A2L, configure XCP/CAN; open 3D map window for throttle_torque_map; observe active-cell highlight moving as engine speed/load inputs change; click a cell, type new value, Enter to write - live ECU response visible immediately
▸ Session documentation: INCA auto-generates change log (parameter name, old value, new value, timestamp, user login); export as .xlsx for calibration review; create final dataset snapshot named "idle_ramp_v2_validated" before ending session; compare against baseline dataset using diff view
5
Advanced Calibration Workflows
DoE (Design of Experiments) for Calibration
45 min read
▸ DoE rationale: systematically sample multi-dimensional parameter space - instead of 1000 individual test-point combinations, a 50-point Latin Hypercube Design covers the same engine operating space while enabling statistical model fitting with quantified uncertainty
▸ Design types in calibration: Full Factorial (all combinations - only feasible for ≤3 factors with few levels), Central Composite Design (CCD for fitting second-order response surface), Space-Filling Latin Hypercube (no prior model needed, good for engine sweep), D-Optimal (model-based, minimises coefficient variance)
▸ ETAS ASCMO workflow: define design space (input factors = engine speed 800–5000 RPM, load 10–100%, EGR valve 0–40%), select design type, execute test plan on dyno with INCA recording each steady-state point, import mf4 recordings into ASCMO, fit Gaussian Process or polynomial model, validate with RMSE on holdout set
▸ Model-based calibration: fitted response surface used to find optimal CHARACTERISTIC values meeting dual objective (NOx < 0.06 g/km AND fuel consumption < 5.0 L/100km simultaneously) - Pareto optimisation outputs the non-dominated set; winning point validated at dyno before deploying to production calibration
Automated Calibration & Optimization
40 min read
▸ Closed-loop calibration: calibration tool (CANape + MATLAB Optimization Toolbox) reads MEASUREMENT signals from ECU, runs optimizer (gradient descent, genetic algorithm, or Bayesian optimization), automatically writes updated CHARACTERISTIC values and re-measures - loop until objective function converges to tolerance
▸ MATLAB COM API integration: CANape COM interface (XL COM API) allows MATLAB script to call canape.Connect(), canape.SetValue("idle_setpoint", 800), val = canape.Measure("actual_rpm") - enables scripted parameter sweeps with fmincon or ga optimizer without manual tool interaction
▸ Residual gas fraction optimization example: sweep EVC_offset CHARACTERISTIC across 10 values while measuring HC_ppm MEASUREMENT; optimizer finds EVC_offset minimising HC_ppm subject to stability constraint (idle_roughness_rms < 0.5 Nm) - automated run takes ~30 minutes vs 2 days of manual dyno testing
▸ OBD-cycle automated calibration: INCA AUTOMATION module replays NEDC/WLTP drive cycle on dyno, records NOx/CO/HC emissions for current map set, feeds results to optimizer, iterates map update → cycle replay → evaluate until OBD threshold met within fuel consumption budget; full cycle optimization runs overnight unattended
Calibration for ADAS Systems
35 min read
▸ ADAS calibration scope: sensor alignment (camera intrinsic/extrinsic, radar bore-sight), algorithm threshold calibration (TTC threshold for AEB, lane departure sensitivity), and sensor fusion weight calibration (camera confidence vs radar confidence weighting in object fusion)
▸ Camera extrinsic calibration: position checkerboard target at known distance/angle, capture images, run OpenCV solvePnP or MATLAB Camera Calibration Toolbox, compute rotation+translation matrix; write extrinsic parameters to CHARACTERISTIC in ADAS ECU via XCP; validate by projecting known 3D points onto image (< 0.5 px RMS error threshold)
▸ AEB threshold calibration: drive closing-speed scenarios at 20/30/40 km/h, measure actual TTC at system intervention; adjust TTC_threshold CHARACTERISTIC until intervention meets ISO 22737 deceleration limits across all closing speeds; verify no false positives on pedestrian and parked-vehicle scenarios
▸ Radar antenna bore-sight: park on level surface, place corner reflector at 10 m straight ahead; CANape reads azimuth_raw_offset MEASUREMENT from radar ECU; write correction value to azimuth_cal_offset CHARACTERISTIC; verify radar centroid = 0° ± 0.1°; procedure repeated after windshield replacement or front-end collision repair
Hands-On: End-to-End Calibration Campaign
60 min read
▸ Campaign setup: define parameter list (CHARACTERISTICs to calibrate) and measurement list (MEASUREMENTs to monitor), create INCA experiment, configure data logging triggers (engine_speed > 1000 RPM AND coolant_temp > 70°C) to capture only valid warm steady-state operating data
▸ Dyno test execution: run WLTP transient cycle recording 47 CHARACTERISTICs and 120 MEASUREMENTs at 100 Hz to .mf4; between runs open MDA, identify operating points with high HC deviation, adjust injection_timing_MAP CHARACTERISTIC, reload calibration dataset into INCA, re-run affected cycle phase
▸ Data sign-off process: export final dataset to DCM, compare diff against baseline in CDM Studio (show only changed parameters), calibration lead reviews each delta; functional safety engineer signs off torque limitation changes; emissions engineer approves combustion maps before freeze
▸ Delivery preparation: freeze dataset in CDM (lock against edits), tag as "WLTP_Cal_v3_Release", generate PDF change report, flash ECU with combined HEX (software + calibration), run 5-cycle OBD conformance test on dyno, archive mf4 recordings + A2L version + dataset to project DMS for homologation traceability
What You'll Learn
Configure and execute XCP measurement sessions
Create and maintain A2L descriptor files
Perform parameter calibration using INCA and CANape
Design systematic calibration campaigns
Manage calibration data across development phases
Apply DoE methods for efficient parameter optimization
Prerequisites
Basic understanding of ECU software architecture
Familiarity with automotive control systems
Understanding of CAN communication
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This course includes:
24 detailed documentation chapters
Downloadable resources
Searchable text documentation
Code snippets & technical diagrams
Hands-on exercises
Lifetime access
Certificate of completion