Measure All ECU labels and Big Data Analytics - dism.co.kr · PDF fileMeasure All ECU labels and Big Data Analytics ... reduced wiring effort Future base modules will also provide

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Measure All ECU labels and Big Data Analytics

Solutions for Automotive Data Acquisition and Management



d

Speaker



Bae, Suknam

ETAS Korea MCD team

- ECU access (ETK, XETK, XCPonCAN) integration

- INCA & HW tools support

- Vehicle Diagnostic



d

Agenda

2 Overview FETK & ES8xx

Measure All with High Performance ECU Access1

3 Big Data Mining and Analytics





Today’s vehicles are characterised by performance, safety,

responsiveness, drivability, and fuel efficiency which could

not be achieved without a multitude of sophisticated software

functions implemented on various ECUs.

Motivation for High Performance ECU Access

Measure All with High Performance ECU Access




ETK Types and Next Generation

ETASproprietary protocol

100Mbit/s Ethernet

30m

ETK-SystemUp to 1,2MByte/sDown to 220usround trip

RP

ETK proprietary protocol100Mbit/s Ethernet

ES592ES593ES595

ES1000ES910

CANLINFlexRay

IntegratedEthernet Switch

MC

ECU

ETK

INCA

INTECRIOASCET-RP

ECU

XETK

30m

XCP on Ethernet100 Mbit/s

XETK-SystemUp to 4 MByte/sDown to 230us round trip INCA

INTECRIOASCET-RP

+ 3rd PartyTools

ES800System

30m FETK Protocol100/1000Mbit/s Ethernet

XCP on Ethernet100/1000 Mbit/s

RPMC

ECU

FETK

INCA

INTECRIOASCET-RP

+ 3rd PartyTools

FETK-Systemup to 30MByte/sDown to <100usround trip

ETKMode

FETKMode

ETK-S2x HW




Advantage of High Performance ECU Access

Added Value User‘s Advantage

MeasurementPerformance(2 byte signals)

Measurement efficiency A wide variety of measurement tasks can be combined into one (both on the bench and in the test vehicle).

Internal discussions on “signals to be measured” become obsolete.The validation of several functions take place simultaneously.

Recording of all ECU signals allow to analyze complex errors Measurement tasks can be fully documented at once

Ext. Bypass-Performance(roundtrip 128 bytes)

ECUs utilized with FETK can be used in Measurement & Calibration and Rapid Prototyping applicationsIncreasing of "ECU-Roundtrip requirements " allow to prototype more complex ECU functions with external bypass in real time prototyping of multiple ECU functions simultaneously

ECU – Flash programming

Unproductive waiting times can be reduced

ECU runtimeinfluence

No significant ECU runtime influence with FETK-T Runtime behavior of ECU functions (development ECU compared to mass production ECU) is identical. Thus error-

behavior can be analyzed in powerful development environment. ECU resources can be fully utilized for vehicle functions.

Test bench methods

Take advantage of test benches more efficiently due to the use of ETK / XETK / FETK at test benches time savings from 20% - 60% are possible (depending on applied calibration methods) increasing of engine’s service life achievable and quality improvements of calibration itself is possible

Min. ECU Raster Data acquisition of faster ECU processes possible (e.g. control function of electric machines, ...)

CAN

FETK



FETK-T for TRACE Interfaces achieve savings


Measure All ECU Variables with FETK-T

175

1600

3000

0

2000

4000

6000

8000

10000

12000

14000

XCP on CAN ETK XETK FETK

Measurement performance in ECU project1

4180040.000

35.000

Value added for calibration engineers

• A wide variety of measurement

tasks can be combined into one

(both on the bench and in the test

vehicle)

• Internal discussions on “signals to

be measured” become obsolete

• The validation of several functions

take place simultaneously

• Recording of all ECU signals allow

to analyze complex errors

• Measurement tasks can be fully

documented at once

1) Evaluation to “measure all ECU signals“, A2L-Default-Raster of an engine project [4-cyl.]Comparison bases on MPC57xx ETK-, XETK- performance and FETK-analysis

2 b

yte

sig

nal

s



d

Agenda








Overview FETK & ES8xx

FETK Overview

FETK are compact and powerful ECU access devices

Support of all important µC families and interfaces over time

e.g. Freescale, Infineon, Renesas, … with JTAG, LFAST, DAP, AUDR,…

Full support for Measurement and Calibration functionality as well as Rapid-Prototyping

(e.g. DISTAB, Overlay Memory Handling, Service-Based Bypass)

High prototyping performance with <100µs turn around time (w/o model time)

1. FETK-T for TRACE interfaces

2. FETK-S for BDM interfaces

or

~ 60 mm

~ 5

0 m

m

~ 1

6 m

m

FETK

GE

ES891

~ 46 mm

~ 2

5 m

m

~ 60 mm

~ 4

0 m

m

ETK-S2x

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FETK-T are compact and powerful ECU access devices


FETK-T

by utilizing the microcontroller TRACE interface (Aurora) for data

acquisition, which cause insignificant influence to microcontroller

runtime (raw data up to 300 Mbyte/s to be reduced and stored

in mirror RAM)

by capturing all ECU measurement labels, data throughput of

30 Mbytes/s and more is possible (ECU software dependent)

for external bypass applications, lowest roundtrip time of 100

µ sec and faster (for e.g. block of 128 byte) which ensures real

time prototyping with lowest latency

by measuring fastest ECU events, down to 5 µ sec

and minimized ECU flash programming time of 8 sec/Mbyte

ECU

µC-PD*µC-ED*

FLASH

JTAG, DAP, LFAST

Data Reduction

MIRROR-RAM

FETK-T

Aurora

TRACE-RAM

CAL-RAM

RAM

GE

ES891

~ 300 Mbyte/s

~30 Mbyte/s

2 … 10 Mbyte/s

* µC-PD -Production Device* µC-ED -Emulation Device



FETK-S for debugging (BDM) interfaces enable


FETK-S

easy and cost efficient ECU – assembly due to the size of

25 mm x 46 mm

Measurement performance

- 2 … 10 Mbytes/s * with ECU software hooks (DISTAB)

- 5 … 10 Mbytes/s * with microcontroller “TRACE to RAM”

method (planned)

data acquisition of fastest ECU processes (events),

down to 20 µ sec

ECU

µC-PD*µC-ED*

FLASH

JTAG, DAP, LFAST

TRACE-RAM

CAL-RAM

RAM

GE

ES891

2 … 10 Mbyte/s

FETK-S

* depending on µC family/interface and ECU SW* µC-PD -Production Device* µC-ED -Emulation Device

2…10 Mbyte/s




ES8xx – System Overview

ES8xx – Main system building blocks

Extension modules

Possible future functional extensions:

High performance data storage

High end data acquisition with built-in

data pre-processing capabilities

Computation power for prototyping or unattended

measurement/calibration automation in DriveRecorder use cases

1 Limited to ETKs supporting the FETK mode for migration

ECU and bus access module (ES89x)

ECU access with ETK1

and FETK

Access to automotive busses (CAN(FD), LIN, FlexRay)

Variants with different port configurations prepared

Base Module

Fixes the whole stack in the vehicle with flexible mounting capabilities.

One power cable supplies the whole stack, reduced wiring effort

Future base modules will also provide host communication as well as

mounting capabilities for the whole stack




ES891 Overview

FETK/GE ports

− Support for FETK-S and FETK-T

− DualMode ETKs (ETK-S2x) supported via

new adapter cable CBAE360

− Switch for GB-ETH (incl. IEEE1588 TimeSynch)

Bus interfaces

− All CAN interfaces support FD

− FlexRay port can be reconfigured to 2x CAN(-FD)

− FlexRay with channel A/B

including synch node support

Interfaces to 3rd party SW

− BOA integration for CAN(FD)/

LIN/FLX Support in INCA,

Busmaster but also in

3rd party SW tools

− Open Access to FETK via

XCPonETH

2x FETK/Dual-Mode ETK/1000 MBit/s Eth.

1x FlexRay/2x CAN (FD)

1x LIN + 1x CAN (FD)

2x CAN (FD)

1x 100 MBit/s Ethernet

1x Host (1000 MBit/s Eth.)



d

Agenda








Big Data Mining and Data Analytics

Customer’s Pain Today

Big Data (Storage) enables Data Mining (Access and Analysis). Explore huge amounts of data from various systems and domains to derive models / patterns /

results. We speak of a transformation of data into information / knowledge

A huge amount of measurement data is created during vehicle development. These data is usually used ones and thrown away

Advantages of Big Data




Efficiency By Systematic Data Reuse

Data Acquisition

− Fast and efficient data acquisition via several Interfaces and modules

− (FETK, ES891, …)

Data Management

− ODS Based Data Storage and Management

− Efficient Data search via Meta Data handling

Data Analytics

− Robustness Toolbox− Big Data

Algorithms, …

Result Reporting

− Visualization Tool coupling (MDA.Net)

− Reporting Portal

Scalable and open Big Data Mining System




Data Processing Workflow Overview

Data Storage

OEM

ODS data server and

Measurement database

Webserver

(DMZ 30‘Update)

Fleet 8:00Uhr 10:00Uhr

Loading

RampsArchive

11:30Uhr Index creation

11:24Uhr

11:30Uhr

12:00Uhr

10MB/s = 25GB/42min

zipzip

zip

zipzip

zip

100MB/s = 250GB/42min

2,5TB/h = 250GB/6min (1:1000)

USB2.0

Daily data exchange MDF Files

50MB/s = 5GB/100s

from 12:00Uhr

50 vehicle with 5GB/d

Detailed Evaluation

Result Evaluation

16:57Uhr17:30Uhr

10:1 1:10

10:42Uhr

12,5MB/s = 250MB/20s (1:200)

12,5MB/s = 250GB/5h33min (1:5000)




Solution Component Overview

Data AcquisitionFETK, ES891, ES820, ES880, …

Data ManagementPLCD, Moogle, …

Result ReportingMDA.Net, Reporting Portal, …

Data AnalyticsRobustness Toolbox,

Big Data Algorithms, …




Solution for Measurement Data Mining

Process Big Data

(Index Creation)

Fast Search in Big

(Thresholds/Ranges)

Interactive Analysis

on Reduced Data

Visualization and

Report




Applicable Domains

Domain Powertrain ADAS (Aftermarket)

Jobs to be done Test Coverage and Systematic Reporting Predictive Diagnostics

Lead/Potential Customers

AUDI, BMW, Daimler,Conti, Bosch/DGS

Bosch/CC,AUDI, BMW, Daimler, GM

Bosch, BMW, FPT,Off-Highway (Liebherr,John Deere, …)

ApplicableComponents

Data Acquisition Data Mgnt Data Analytics Reporting



Chance or Risk ETAS domain knowledge, goodpositioning in market

Cooperation with Bosch CC

Missing domain knowledge



Vielen Dank

Thank youMerci

有難うございました

감사합니다.谢谢

Gracias

Documents

Measure All ECU labels and Big Data Analytics - dism.co.kr · PDF fileMeasure All ECU labels and Big Data Analytics ... reduced wiring effort Future base modules will also provide