This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
An Integrated Methodology for 0D Map-Based Powertrain Modelling Applied to a 48 V Mild-Hybrid Diesel Passenger Car
Technical Paper
2018-01-1659
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Nowadays, the 48 V vehicle architecture seems to be the perfect bridge between the 12 V system and the costly High Voltage (HV) electrification towards the crucial goal of CO2 and pollutants emissions reduction in combination with enhanced performance. However, this approach leads to an increased complexity in the interaction between different sub-systems targeting the optimization of the Energy Management System (EMS). Therefore, it becomes essential to perform a preliminary hardware assessment, exploring the interactions between the different components and quantifying the cost vs benefit trade-off. To this purpose, an integrated experimental/numerical methodology has been adopted: a comprehensive map-based Hybrid Electric Vehicle (HEV) model has been built, allowing the simulation of a variety of hybrid architectures, including both HV and 48 V systems. It comprises an embedded EMS model, calibrated by means of dedicated test campaigns carried out on benchmarking vehicles, under both steady-state and transient conditions. Furthermore, the main electrical subsystems have been characterized during the same experimental campaigns with a minimum and non-invasive instrumentation effort. Specifically, this activity investigates the features and performance of a 48 V mild-hybrid Diesel P0 architecture. The aim of this activity is to achieve an accurate determination of the energy and fuel consumption, as well as of the CO2 emissions, over standard driving cycles, by means of a 0D model calibrated with a dedicated test campaign. The obtained results indicate that the developed 0D model can be used to predict the powertrain behavior for different vehicle mission profiles such as extended Real Driving Emissions (RDE) tests. Furthermore, it enables the possibility to assess, on a virtual test rig, the impact of modifications of the components specifications in order to evaluate alternative and feasible designs that can fit customer needs.
Recommended Content
Authors
Topic
Citation
DiPierro, G., Millo, F., Scassa, M., and Perazzo, A., "An Integrated Methodology for 0D Map-Based Powertrain Modelling Applied to a 48 V Mild-Hybrid Diesel Passenger Car," SAE Technical Paper 2018-01-1659, 2018, https://doi.org/10.4271/2018-01-1659.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 |
Also In
References
- ICCT 1 23 2016 10.13140/RG.2.1.2045.3364
- European Union 2009
- Tsiakmakis , S. , Fontaras , G. , Anagnostopoulos , K. , Ciuffo , B. et al. A Simulation Based Approach for Quantifying CO2 Emissions of Light Duty Vehicle Fleets. A Case Study on WLTP Introduction Transp. Res. Procedia 25 3902 3912 2017 10.1016/j.trpro.2017.05.308
- Duarte , G.O. , Gonçalves , G.A. , and Farias , T.L. Analysis of Fuel Consumption and Pollutant Emissions of Regulated and Alternative Driving Cycles Based on Real-World Measurements Transp. Res. Part D Transp. Environ. 44 43 54 2016 10.1016/j.trd.2016.02.009
- Deetman , S. , Hof , A.F. , Pfluger , B. , van Vuuren , D.P. et al. Deep Greenhouse Gas Emission Reductions in Europe: Exploring Different Options Energy Policy 55 152 164 2013 10.1016/j.enpol.2012.11.047
- Williams , J.H. , DeBenedictis , A. , Ghanadan , R. , Mahone , A. et al. The Technology Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity Science 335 6064 53 59 2012 10.1126/science.1208365
- Yang , C. , McCollum , D. , McCarthy , R. , and Leighty , W. Meeting an 80% Reduction in Greenhouse Gas Emissions from Transportation by 2050: A Case Study in California Transp. Res. Part D Transp. Environ. 14 3 147 156 2009 10.1016/j.trd.2008.11.010
- Moultak , M. , Lutsey , N. , and Hall , D. Int. Counc. Clean Transp. 2017
- Els , P. 2017
- Butterweck , D. Sc , M. Hombitzer , D.M. Analysis and Evaluation of Electric Motor Topologies for a Kinematic-Electric 48 Volt Powertrain 26th Aachen Colloq. Automob. Engine Technol. 2017 2017
- Wagner , U. , Rauch , M. , Eckl , T. , Schamel , A. et al. 48 V P2 Hybrid Vehicle with an Optimized Engine Concept - Optimum Drivability with Excellent Fuel Economy and Cost-Efficiency Abstract 1 Introduction 37. Int. Wiener Mot. 2016 2016 1 30
- Liu , Z. , Ivanco , A. , and Filipi , Z.S. Impacts of Real-World Driving and Driver Aggressiveness on Fuel Consumption of 48V Mild Hybrid Vehicle SAE Int. J. Alt. Power. 5 2 249 258 2016 10.4271/2016-01-1166
- Delphi Delphi’s Approach to Real World Compliance 2016 Vienna Motorsymposium 2016
- Chasse , A. Sciarretta , A. Chauvin , J. Online Optimal Control of a Parallel Hybrid with Costate Adaptation Rule IFAC Proc. 2010 99-104 10.3182/20100712-3-DE-2013.00134
- Grondin , O. , Thibault , L. , and Quérel , C. Energy Management Strategies for Diesel Hybrid Electric Vehicle Oil Gas Sci. Technol. 70 1 125 141 2015 10.2516/ogst/2013215
- Finesso , R. , Spessa , E. , and Venditti , M. Layout Design and Energetic Analysis of a Complex Diesel Parallel Hybrid Electric Vehicle Appl. Energy 134 2014 10.1016/j.apenergy.2014.08.007
- Sellers , R Revereault , P. Optimising the Architecture of a 48V Mild-Hybrid Diesel Powertrain 26th Aachen Colloq. Automob. Engine Technol. 2017 2017
- Liao , G.Y. , Weber , T.R. , and Pfaff , D.P. Modelling and Analysis of Powertrain Hybridization on all-Wheel-Drive Sport Utility Vehicles Proc. Inst. Mech. Eng. Part D J. Automob. Eng. 218 10 1125 1134 2004 10.1177/095440700421801007
- Oh , S.C. Evaluation of Motor Characteristics for Hybrid Electric Vehicles Using the Hardware-in-the-Loop Concept IEEE Trans. Veh. Technol. 54 3 817 824 2005 10.1109/TVT.2005.847228
- Oh , Y. , Park , J. , Lee , J.T. , Seo , J. et al. Estimation of CO2 reduction by Parallel Hard-Type Power Hybridization for Gasoline and Diesel Vehicles Sci. Total Environ. 595 2 12 2017 10.1016/j.scitotenv.2017.03.171
- Vallur , A.R. , Khairate , Y. , and Awate , C. Prescriptive Modeling, Simulation and Performance Analysis of Mild Hybrid Vehicle and Component Optimization Mild Hybrid System-Improvement of Fuel SAE Technical Paper 2015-26-0010 . 2015 10.4271/2015-26-0010
- McGehee , J. and Yoon , H.-S. An Optimal Powertrain Control Strategy for a Mild Hybrid Electric Vehicle SAE Technical Paper 2013-01-0482 2013 10.4271/2013-01-0482
- United Nations 2014
- Hakvoort , H. and Olbrich , T. Series Application of a 48-V Hybrid Drive MTZ Worldw. 09 2017
- Millo , F. , Rolando , L. , and Andreata , M. Numerical Analysis - Theory and Application 519 540 2011 10.5772/24111
- Firsching , P. , Eckl , T. , Rauch , M. , Rohe , M. et al. 48-Volt-Hybridisation of the Drive Train 25. Aachener Kolloquium Fahrzeug- Und Mot. 2016 2016 211 228
- Finesso , R. , Spessa , E. , and Venditti , M. Cost-Optimized Design of a Dual-Mode Diesel Parallel Hybrid Electric Vehicle for Several Driving Missions and Market Scenarios Appl. Energy 177 366 383 2016 10.1016/j.apenergy.2016.05.080
- MILLO , F. , ROLANDO , L. , FUSO , R. , and MALLAMO , F. Real CO2 Emissions Benefits and End User’s Operating Costs of a Plug-In Hybrid Electric Vehicle Appl. Energy 114 563 571 2014 10.1016/j.apenergy.2013.09.014
- Zhang , C. , Jiang , J. , Zhang , L. , Liu , S. et al. A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery Energies 9 11 2016 10.3390/en9110900
- Cleary , T. , Kunte , H. , and Kreibick , J. 2015 10.13140/RG.2.1.4182.3126