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OPTEMUS - Optimised Energy Management and Use

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EGVIA - ERTRAC 1st European Conference Results from Road Transport Research in H2020 projects
29 November 2017 to 30 November 2017
Brussels

Published in: Automotive
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OPTEMUS - Optimised Energy Management and Use

  1. 1. Reducing the Energy Consumption for Comfort and Thermal Conditioning in EVs Dr. Alois Steiner, Coordinator of OPTEMUS 1st European Conference on Results from Road Transport Research in Horizon 2020 projects
  2. 2. Content November 2017 / Steiner OPTEMUS 2 • Overview of the OPTEMUS project • Project Objectives • Results according to these Objectives • Conclusions
  3. 3. Overview of the OPTEMUS project November 2017 / Steiner OPTEMUS 3 OPTEMUS in a nutshell… Programme Horizon 2020 - Smart, Green and Integrated Transport - Green Vehicles GV.2-2014: Optimised and systematic energy management in electric vehicles Project title Optimised Energy Management and Use Project budget/ EU funding 6.39 Mio € Project duration June 2015 – February 2019 Number of partners 15 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 653288
  4. 4. Overview of the OPTEMUS project November 2017 / Steiner OPTEMUS 4 Reference vehicle:  A-class vehicle Definition of „extreme conditions“ using 2 use cases:  Use case 1: Hot ambient (35 °C, 40 % r.H.)  Use case 2: Cold ambient (-10 °C, 95 % r.H.) Impact of OPTEMUS:  Use case 1: 60 % reduced energy consumption for passenger comfort and 33 % reduced energy for component cooling incl. the battery (with ensured life enhancement) and gained energy from harvesting architectures  Use case 2: 78 % reduced energy consumption for passenger comfort and 33 % reduced energy for component cooling incl. the battery (with ensured life enhancement) and gained energy from harvesting architectures
  5. 5. Overview of the OPTEMUS Technologies November 2017 / Steiner OPTEMUS 5 CRF, DENSO, IFPEN, Virtual Vehicle Continental, Fraunhofer, University of Aachen Magneti Marelli, Scuola Superiore Sant‘Anna, Fraunhofer, University of Salerno DENSO CRF, Virtual Vehicle Mondragon Fraunhofer, University of Aachen, CRF, DENSO Virtual Prototype, Cost- Benefit-Analysis Virtual Vehicle, ESI, Bax & Company DENSO IFPEN
  6. 6. Project Objectives November 2017 / Steiner OPTEMUS 6 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%. 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. 3 To decrease the energy consumption for passenger comfort of the A-class EV in extreme weather conditions by a minimum of 60%. 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to baseline A-class EV. 5 To develop an attractive portfolio of technologies with superior “value for money” in comparison to SotA, and facilitate their adoption by OEMs and more rapid market penetration. 6 To contribute to a faster introduction of electric and plug-in hybrid cars in the market.
  7. 7. Results according to these Objectives November 2017 / Steiner OPTEMUS 7 # Objective 3 To decrease the energy consumption for passenger comfort of the A-class EV in extreme weather conditions by a minimum of 60%. Compact Refrigeration Unit Battery as Thermal Storage Preconditioning Strategies
  8. 8. Results according to these Objectives November 2017 / Steiner OPTEMUS 8 + 32 % driving range (without improvements for traction energy) Calculations for the defined „Cold Use Case“ (-10 °C ambient temperature): - 73 % energy consumption for passenger comfort
  9. 9. Results according to these Objectives November 2017 / Steiner OPTEMUS 9 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%. 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. 3 To decrease the energy consumption for passenger comfort of the A-class EV in extreme weather conditions by a minimum of 60%. 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to the baseline A-class EV. 5 To develop an attractive portfolio of technologies with superior “value for money” in comparison to SotA, and facilitate their adoption by OEMs and more rapid market penetration. 6 To contribute to a faster introduction of electric and plug-in hybrid cars in the market.
  10. 10. Results according to these Objectives November 2017 / Steiner OPTEMUS 10 # Objective 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to the baseline A-class EV. Eco-RoutingEco-Driving
  11. 11. Results according to these Objectives November 2017 / Steiner OPTEMUS 11 # Objective 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to the baseline A-class EV. Decrease of 15 to 23 % in traction energy
  12. 12. Results according to these Objectives November 2017 / Steiner OPTEMUS 12 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%. 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. 3 To decrease the energy consumption for passenger comfort of the A-class EV in extreme weather conditions by a minimum of 60%. 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to baseline A-class EV. 5 To develop an attractive portfolio of technologies with superior “value for money” in comparison to SotA, and facilitate their adoption by OEMs and more rapid market penetration. 6 To contribute to a faster introduction of electric and plug-in hybrid cars in the market.
  13. 13. Results according to these Objectives November 2017 / Steiner OPTEMUS 13 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%.
  14. 14. Results according to these Objectives November 2017 / Steiner OPTEMUS 14 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%. + 30 % driving range (with Eco-Driving and Eco-Routing, Energy Harvesting and interior technologies not yet considered) Calculations for the defined „Cold Use Case“ (-10 °C ambient temperature):
  15. 15. Results according to these Objectives November 2017 / Steiner OPTEMUS 15 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%. 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. 3 To decrease the energy consumption for passenger comfort of the A-class EV in extreme weather conditions by a minimum of 60%. 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to baseline A-class EV. 5 To develop an attractive portfolio of technologies with superior “value for money” in comparison to SotA, and facilitate their adoption by OEMs and more rapid market penetration. 6 To contribute to a faster introduction of electric and plug-in hybrid cars in the market. Possible with energy harvesting technologies and interior technologies
  16. 16. Results according to these Objectives November 2017 / Steiner OPTEMUS 16 # Objective 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. Battery with integrated phase change materials • No energy for cooling needed during charging • Reduced operation of cooling pump and front-end fan possible • First estimation for hot case (+ 35 °C) => - 25 % energy consumption for cooling pump and front-end fan
  17. 17. Results according to these Objectives November 2017 / Steiner OPTEMUS 17 # Objective 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. Neural network simulation model of the cooling and heating system • Optimization of operation strategies with a fast artificial neural network (ANN) model • Optimizer searches strategies with minimum energy consumption • First estimation => -10 % energy consumption
  18. 18. Results according to these Objectives November 2017 / Steiner OPTEMUS 18 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%. 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. 3 To decrease the energy consumption for passenger comfort of the A-class EV in extreme weather conditions by a minimum of 60%. 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to baseline A-class EV. 5 To develop an attractive portfolio of technologies with superior “value for money” in comparison to SotA, and facilitate their adoption by OEMs and more rapid market penetration. 6 To contribute to a faster introduction of electric and plug-in hybrid cars in the market. Only preliminary results available
  19. 19. Results according to these Objectives November 2017 / Steiner OPTEMUS 19 # Objective 5 To develop an attractive portfolio of technologies with superior “value for money” in comparison to SotA, and facilitate their adoption by OEMs and more rapid market penetration. • Cost assessment (Total Cost of Ownership) • Dissemination & exploitation • Quantification of benefits of technologies (reduced energy consumption, improved comfort)
  20. 20. Results according to these Objectives November 2017 / Steiner OPTEMUS 20 # Objective 6 To contribute to a faster introduction of electric and plug-in hybrid cars in the market. • Reduce changing driving range (feeling of uncertainty) and increase overall driving range • Set up of economic business cases • Communication activities • Find related benefits for customers: • New approaches for energy management e.g. energy production from PV panels interesting for fleet operators
  21. 21. Conclusions November 2017 / Steiner OPTEMUS 21 # Objective 1 To increase the real driving range of an A-class EV in extreme weather conditions by at least 38%. 2 To decrease the energy consumption for component cooling of the A-class EV in extreme weather conditions by a minimum of 32%. 3 To decrease the energy consumption for passenger comfort of the A-class EV in extreme weather conditions by a minimum of 60%. 4 To decrease energy consumption for traction in extreme weather conditions by 15% compared to baseline A-class EV. 5 To develop an attractive portfolio of technologies with superior “value for money” in comparison to SotA, and facilitate their adoption by OEMs and more rapid market penetration. 6 To contribute to a faster introduction of electric and plug-in hybrid cars in the market. Measures were defined, work in progress Possible with energy harvesting technologies and interior technologies Only preliminary results available
  22. 22. Conclusions November 2017 / Steiner OPTEMUS 22 • According to simulation results and testbench measurements Objectives 2 and 3 will be achieved, objective 1 seems possible with energy harvesting technologies and interior technologies • Measurements in the demonstrator vehicle need to confirm these results • Objective 4 has already been confirmed by measurements in an Eco-Driving/Eco-Routing demonstrator vehicle • Measures for Objectives 5, 6 have been defined, work is in progress
  23. 23. Thank you for your attention! The OPTEMUS consortium

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