EXTENSION OF A POWERNET TESTBENCH WITH A VEHICLE SIMULATION - - PowerPoint PPT Presentation

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EXTENSION OF A POWERNET TESTBENCH WITH A VEHICLE SIMULATION - - PowerPoint PPT Presentation

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EXTENSION OF A POWERNET TESTBENCH WITH A VEHICLE SIMULATION INCLUDING ENVIRONMENT FOR A INTEGRATED DEVELOPMENT Stefan Kurtz, BMW Group Prof. Dr.-Ing. H.-G. Herzog, TUM AGENDA. Introduction Origin General approach Finalized work Approach

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SLIDE 1

Stefan Kurtz, BMW Group

  • Prof. Dr.-Ing. H.-G. Herzog, TUM

EXTENSION OF A POWERNET TESTBENCH

WITH A VEHICLE SIMULATION INCLUDING ENVIRONMENT FOR A INTEGRATED DEVELOPMENT

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SLIDE 2

AGENDA.

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Introduction Approach Architecture Realization Summary

Origin General approach Finalized work Latest achievements Status Quo Requirements HiL architecture overview Hardware architecture Software architecture Implementation Simple approach of a passenger model Results Advantages Outlook

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SLIDE 3

ORIGIN.

Automotive power net designs grow more and more complex, they contain…  Energy storages (e.g. AGM battery, Li-Ion battery)  Power supplies (e.g. generator, DC/DC converter)  Consumer (e.g. ohmic sinks, electric motors and systems consuming constant power) In other words, there are…  Different voltage levels  100+ ECUs in highly equipped vehicles  100+ actuators in highly equipped vehicles  Massively connected functions that command several ECUs and actuators Major question: How to coordinate energy and power aspects at it’s best?

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SLIDE 4

dummy dummy dummy dummy dummy dummy

GENERAL APPROACH.

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Producer Storage Consumer Generator Battery Actuator Management Function Energy & Power Management [3,4] Customer / System function Environment Energy & Power Prediction [6]

  • el. wiring

information command

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SLIDE 5

FINALIZED WORK.

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The institute for Power Conversion Technology (EWT) at Technische Universität München (TUM) builds up a reference power net test bench in cooperation with BMW Group. The test bench consists of…

  • An original BMW F01 (series 7) chassis
  • An original wiring harness
  • Numerous electronic sinks as replacement for

real components

  • An original AGM battery
  • An original generator carried by an electric motor
  • A second voltage level (48V)

Additionally to a normal vehicle the test bench is equipped with…

  • Numerous measuring points for voltage and current
  • Simulated consumer behavior (decided to be independent of static ECU software

versions)

TUM EWT reference power net test bench

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SLIDE 6

A DETAILED VIEW TO THE TEST BENCH.

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TUM EWT reference power net test bench

BMW F01 (series 7) chassis electronic sinks wiring harness AGM battery measuring points generator carried by an electric motor

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SLIDE 7

LATEST ACHIEVEMENTS.

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 Next generation Energy and Power Management [3, 4] analogue to an up-to-date BMW series 7 (G11)  With complete access to the operation strategy and every parameter  (Optional) replacement of the AGM battery by a powerful battery simulation test bench [5] containing  Electronic source (analogue to the performance of a battery)  Electronic sink  Different battery simulation models

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SLIDE 8

STATUS QUO.

The test bench can…

  • Rerun every situation logged in a real vehicle, with preparation of the logged data
  • Run every artificial scenario
  • Be configured as a customer can choose extra equipment

We can…

  • Analyze and optimize every operation strategy and parameter
  • Integrate any thinkable consumer or function for testing purposes

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SLIDE 9

REQUIREMENTS.

For further work we need…

  • The possibility to analyze and optimize in a massive dimension to identify the

global optimum

  • For the operation strategy of the energy management system
  • The classifiers of the prediction model for the power management

Which means to…

  • Find the relevant situations
  • Identify or even generate corresponding driving scenarios
  • Parametrize the consumers and the battery simulation in the test bench
  • Stimulate the whole test bench in a realistic way in real time
  • Report the gain of the management system

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SLIDE 10

HIL ARCHITECTURE OVERVIEW.

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Simulation Models Co- Simulation A/D conversion Impress current Measure

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SLIDE 11

d d d

HARDWARE ARCHITECTURE (RUNNING OPERATION).

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NI PXI COTS PC PharLab Generat

  • r

Battery COTS PC Host COTS PC Measurin g

El. load #1 El. load #1

  • El. Load

#1…n

NI PXImc Analogue input Ethernet Analogue

  • utput

Simulatio n models Co- Simulatio n A/D conversi

  • n

Measure Impress current Impress current

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SLIDE 12

NI Veristand (2)

FMI FMI FMI FMI

SOFTWARE ARCHITECTURE.

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A/D Hardware NI Labview

Predictio n (Simulink / C) Power Mgmt (Dymola) Consume r model #n (Dymola ) IPG CarMaker (custom device) Passenge r model (Simulink ) Measure- ment GUI (LabView) A/D converter

measurement (sensor) data command

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SLIDE 13

IMPLEMENTATION.

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 Integration of MATLAB/Simulink passenger model using CarMaker Plain Template  Creation of a custom CarMaker kernel for LVRT  Integration of IPG custom device in NI VeriStand  Connection of all necessary inputs and outputs using aliases  Integration of Dymola customer / producer / management models using FMI [1]  Integration of NI PXImc for communication to PC [2]  Connection of all necessary inputs and outputs using aliases  Deploy, wait, run, wait, have fun!

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SLIDE 14

SIMPLE APPROACH OF A PASSENGER MODEL (PROTOTYPE).

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 Simple MATLAB/Simulink model representing passenger behavior  Position specific behavior (driver, co- driver, passenger)  up to four (or even more?) instances thinkable  Decisions linked to  Daytime and lightness  Driving time  Temperature (in- & outside)  Weather  Nearly all inputs were natively generated by IPG CarMaker

Simulink passenger model snippet

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SLIDE 15

IDEA AND DETAILS OF THE PASSENGER MODEL. LOW BEAM LIGHT DECISION.

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Decision for low beam light (driver only)  Driver whishes low beam light between sunset and sunrise or  Otherwise when it’s dark like in a tunnel or a car park Necessary inputs:

  • Daytime
  • Lightness

Possible optimization:

  • Simple model of altitude of the sun

Simulink passenger model snippet

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SLIDE 16

IDEA AND DETAILS OF THE PASSENGER MODEL. SEAT MASSAGE DECISION.

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Decision for seat massage (possible for any passenger)  Passenger whishes seat massage “randomly” or  When he/she is sitting a long time Necessary inputs:

  • Driving time
  • Pseudo random generator

Simulink passenger model snippet

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SLIDE 17

RESULTS.

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 Extension of IPG CarMaker by customer inputs without an additional interface  Every synchronization is made by IPG CarMaker  Realistic real-time stimulation  of consumer models  of prediction models  Simple replay of test scenarios with much more details like traffic  Simple modification of test runs by changing the IPG CarMaker Simulation

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ADVANTAGES.

 Any test drive can be run on the test bench  Real  Simulated  Synthetic (also not real or not realistic)  Any parameter can be stressed  Individual  In combination (due to integration of IPG CarMaker simulation) We now can…

  • Run generated standard scenarios in great numbers and
  • Rerun real test drives with the help of IPG CarMaker

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SLIDE 19

OUTLOOK.

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 Import of real test drives with options or modifications  With or without velocity profile  With or without traffic  Build „fast-forward“ out of relevant situations to speed up simulation

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THANKS FOR YOUR ATTENTION.

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…further questions?

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BACKUP.

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REFERENCES.

[1] Michael Winter, Julian Taube, Joachim Froeschl und Hans-Georg Herzog, „From Simulation to Testbench using the FMI-standard“ in Vehicle Power and Propulsion Conference (VPPC), 2015 [2] Michael Winter, Julian Taube, Hans-Georg Herzog, „Skalierbare Echtzeitemulation von Bordnetzkomponenten in einem Bordnetzprüfstand mit NI VeriStand“ in Virtuelle Instrumente in der Praxis, VDE Verlag, 2015 [3] Joachim Fröschl, Christian Pichler, Veneta Dobreva, Hans-Georg Herzog, “A new kind of an Energy Management System” in Electric & Electronic Systems in Hybrid und Electric Vehicles and Electrical Energy Management, 2015 [4] Joachim Fröschl, Stefan Kurtz, Michael Winter, Julian Taube, Timur Nuritdinow, Hans-Georg Herzog, „Concept od a decision system for an operation strategy in a cybernetic energy and power management“ in Electric & Electronic Systems in Hybrid und Electric Vehicles and Electrical Energy Management, 2016 [5] Michael Winter, Julian Taube, Andreas Stückl, Hans-Georg Herzog, "Emulation

  • f batteries and bidirectional components in the automotive power net“ in “Electric

& Electronic Systems in Hybrid and Electrical Vehicles and Electrical Energy Management", 2016

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SLIDE 23

REFERENCES.

[6] Stefan Kurtz, Niklas Willems und Hans-Georg Herzog, „Abstrakte Szenarien zur Leistungs- und Energieprädiktion“ in Elektrik/Elektronik in Hybrid- und Elektrofahrzeugen und elektrisches Energiemanagement, 2014

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