This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Recent Trends on Drivetrain Control Strategies and Battery Parameters of a Hybrid Electric Vehicle
Technical Paper
2019-28-0155
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Environmental consciousness is being developed in each and every sector, automotive industry has concentrated in a greater manner. Reduction of tail pipe emission was concentrated and found that hybridization can ensure better results. Hybrid electric vehicle operates on electric motor as well as internal combustion engine. Battery power is one the major source of energy for driving electric motor and different battery technologies have been developed. Battery management system (BMS) controls battery parameters like State of Charge (SoC), State of Health (SoH) and Depth of Discharge (DoD) which definitely has an impact on power-torque ratings. Various drive train configurations are developed based on the power-torque requirements and size of engine/electric motor. Maintaining proper flow of energy can have better reduction in emissions, more battery life, less fuel consumption and optimum power-torque ratings. Power and torque has to be varied based on the driver’s requirement, maximum power and torque may not be required all the time and that is the area to capitalize some efficiency. Higher fuel efficiency lies in managing energy flow from various power sources to final drive. Energy flow can be controlled by deploying certain logical constraints on battery management system along with drive train which optimises the losses, optimization techniques have shown better results in control of power-torque ratings. This paper explains about the various drive train configurations, battery technologies and their control techniques. Wide range of future scope has been explained by routing each and every technology involved in hybrid vehicles
Authors
Topic
Citation
Bhaskar, P., Deshmukh, S., Khannan, P., and Shaik, A., "Recent Trends on Drivetrain Control Strategies and Battery Parameters of a Hybrid Electric Vehicle," SAE Technical Paper 2019-28-0155, 2019, https://doi.org/10.4271/2019-28-0155.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 |
Also In
References
- Solero , L. , Lidozzi , A. , and Pomilio , J.A. Design of Multiple-Input Power Converter for Hybrid Vehicles IEEE Transactions on Power Electronics 20 5 September 2005
- Peng , J. , He , H. , and Xiong , R. Rule Based Energy Management Strategy for a Series-Parallel Plug-in Hybrid Electric Bus Optimized by Dynamic Programming Applied Energy 185 1633 1643 2017
- Ehsani , M. , Rahman , K.M. , and Toliyat , H.A. Propulsion System Design of Electric and Hybrid Vehicles IEEE Transactions on Industrial Electronics 44 1 February 1997
- Tie , S.F. and Tan , C.W. A Review of Energy Sources and Energy Management System in Electric Vehicles Renewable and Sustainable Energy Reviews 20 82 102 2013
- Peng , J. , He , H. , and Xiong , R. Rule Based Energy Management Strategy for a Series-Parallel Plug-in Hybrid Electric Bus Optimized by Dynamic Programming Applied Energy 185 1633 1643 2017
- Hom Chaudhuri , B. , Lin , R. , and Pisu , P. Hierarchical Control Strategies for Energy Management of Connected Hybrid Electric Vehicles in Urban Roads Transportation Research Part C 62 70 86 2016
- Zhang , P. , Yan , F. , and Du , C. A Comprehensive Analysis of Energy Management Strategies for Hybrid Electric Vehicles Based on Bibliometrics Renewable and Sustainable Energy Reviews 48 88 104 2015
- Andwari , A.M. , Pesiridis , A. , Rajoo , S. et al. Review of Battery Electric Vehicle Technology and Readiness Levels Renewable and Sustainable Energy Reviews 78 414 430 2017
- Wu , Z. , Ling , R. , and Tang , R. Dynamic Battery Equalization with Energy and Time Efficiency for Electric Vehicles Energy S0360-5442 17 31650 X
- Markel , T. and Simpson , A. May 2006
- Kouchachvili , L. , Yaïci , W. , and Entchev , E. Hybrid Battery/Super Capacitor Energy Storage System for the Electric Vehicles Journal of Power Sources 374 237 248 2018
- Constantine , K. Life Cycle Assessment of Greenhouse Gas Emissions from Plug-in Hybrid Vehicles: Implications for Policy Environ. Sci. Technol. 42 3170 3176 2008
- Shao , S. , Bi , J. , Yang , F. , and Guan , W. On-Line Estimation of State-of-Charge of Li-Ion Batteries in Electric Vehicle Using the Resampling Particle Filter Transportation Research Part D 32 207 217 2014
- Wegmann , R. , Döge , V. , and Sauer , D.U. Assessing the Potential of a Hybrid Battery System to Reduce Battery Aging in an Electric Vehicle by Studying the Cycle Life of a Graphite NCA High Energy and a LTO Metal Oxide High Power Battery Cell Considering Realistic Test Profiles Applied Energy 226 197 212 2018
- Nama , W. , Kimb , J.-Y. , and Ohc , K.-Y. The Characterization of Dynamic Behavior of Li-Ion Battery Packs for Enhanced Design and States Identification Energy Conversion and Management 162 264 275 2018
- Claude , F. , Becherif , M. , and Ramadan , H.S. Experimental Validation for Li-Ion Battery Modelling Using Extended Kalman Filters International Journal of Hydrogen Energy 42 25509 25517 2017
- Oh , K.-Y. and Epureanu , B.I. A Phenomenological Force Model of Li-Ion Battery Packs for Enhanced Performance and Health Management Journal of Power Sources 365 220 229 2017
- Zhou , X. , Stein , J.L. , and Ersal , T. Battery State of Health Monitoring by Estimation of the Number of Cyclable Li-Ions Control Engineering Practice 66 51 63 2017
- Zhang , X. , Wang , Y. , Liu , C. , and Chen , Z. A Novel Approach of Battery Pack State of Health Estimation Using Artificial Intelligence Optimization Algorithm Journal of Power Sources 376 191 199 2018
- Enang , W. and Bannister , C. Modelling and Control of Hybrid Electric Vehicles (a Comprehensive Review) Renewable and Sustainable Energy Reviews 74 1210 1239 2017
- Huang , Y. , Wang , H. , Khajepour , A. , He , H. , and Ji , J. Model Predictive Control Power Management Strategies for HEVs: A Review Journal of Power Sources 341 91 106 2017
- Bayindir , K.C.˘a. , Gozukucuk , M.A. , and Teke , A. A Comprehensive Overview of Hybrid Electric Vehicle: Powertrain Configurations, Powertrain Control Techniques and Electronic Control Units Energy Conversion and Management 52 1305 1313 2011
- Sivertsson , M. and Eriksson , L. Optimal Powertrain Lock-up Transients for a Heavy Duty Series Hybrid Vehicle IFAC PapersOnLine 50 1 7842 7848 2017
- Ni , Liqin , Patterson , Dean , Hudgins , Jerry L.
- Sorrentino , M. , Rizzo , G. , and Arsie , I. Analysis of a Rule-Based Control Strategy for on-Board Energy Management of Series Hybrid Vehicles Control Engineering Practice 19 1433 1441 2011
- Capata , R. and Coccia , A. Procedure for the Design of a Hybrid-Series Vehicle and the Hybridization Degree Choice Energies 3 450 461 2010
- Cao , J. , Peng , J. , and He , H. Modeling and Simulation Research on Power-Split Hybrid Electric Vehicle Energy Procedia 104 354 359 2016
- Gao , M. , Hu , J. , and Peng , Z. Study on Configuration of Power Split Hybrid Electric Vehicles Base on Systematic Viewpoint Energy Procedia 105 2778 2784 2017
- Zhou , X. , Qin , D. , and Hu , J. Multi-Objective Optimization Design and Performance Evaluation for Plug-in Hybrid Electric Vehicle Powertrains Applied Energy 208 1608 1625 2017
- Liu , W. , He , H. , and Wang , Z. A Comparison Study of Energy Management for a Plug-in Serial Hybrid Electric Vehicle Energy Procedia 88 854 859 2016
- Venditti , M. Analysis of the Performance of Different Machine Learning Techniques for the Definition of Rule-Based Control Strategies in a Parallel HEV Energy Procedia 101 685 692 2016
- Johnson , V.H. , Wipke , K.B. , and Rausen , D.J. HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions SAE Technical Paper 2000-01-1543 2000 10.4271/2000-01-1543
- Ming , L. , Ying , Y. , Liang , L. , Yao , L. , and Zhou , W. Energy Management Strategy of a Plug-in Parallel Hybrid Electric Vehicle Using Fuzzy Control Energy Procedia 105 2660 2665 2017
- Shabbir , W. and Evangelou , S.A. Real-Time Control Strategy to Maximize Hybrid Electric Vehicle Powertrain Efficiency Applied Energy 135 512 522 2014
- Karbowski , D. , Rousseau , A. , Pagerit , S. , and Sharer , P. Plug-In Vehicle Control Strategy: From Global Optimization to Real-Time Application Argonne National Laboratory
- Poursamad , A. and Montazeri , M. Design of Genetic-Fuzzy Control Strategy for Parallel Hybrid Electric Vehicles Control Engineering Practice 16 861 873 2008
- Geyer , T. , Papafotiou , G. , and Morari , M. Model Predictive Control in Power Electronics: A Hybrid Systems Approach 44th IEEE Conference on Decision and Control, and the European Control Conference Dec 15 2005
- Fu , Z. , Gao , A. , Wang , X. , and Song , X. Torque Split Strategy for Parallel Hybrid Electric Vehicles with an Integrated Starter Generator Hindawi Publishing Corporation Discrete Dynamics in Nature and Society 2014
- Razlighi , S.Z. Energy Management in Series-Parallel Hybrid Electric Vehicles Using Fuzzy Logic Controller Science Journal (CSJ) 36 4 2015
- Ahmadi , S. and Bathaee , S.M.T. Multi-Objective Genetic Optimization of the Fuel Cell Hybrid Vehicle Supervisory System: Fuzzy Logic and Operating Mode Control Strategies International Journal of Hydrogen Energy xxx I 10 2015
- Wei , Z. , Xu , J. , and Halim , D. HEV Power Management Control Strategy for Urban Driving Applied Energy 194 705 714 2017
- Zhang , S. and Xiong , R.
- Wanga , H. , Huang , Y. , Khajepour , A. , and Song , Q. Model Predictive Control-Based Energy Management Strategy for a Series Hybrid Electric Tracked Vehicle Applied Energy 182 105 114 2016
- Chen , B.-C. , Wu , Y.-Y. , and Tsai , H.-C. Design and Analysis of Power Management Strategy for Range Extended Electric Vehicle Using Dynamic Programming Applied Energy 113 1764 1774 2014
- Zhang , S. and Xiong , R. Adaptive Energy Management of a Plug-in Hybrid Electric Vehicle Based on Driving Pattern Recognition and Dynamic Programming Applied Energy 155 68 78 2015
- Yan , Y. , Hua , X. , Pei , H. , and Peng , Z. Comparison of Power-Split and Parallel Hybrid Powertrain Architectures with a Single Electric Machine: Dynamic Programming Approach Applied Energy 168 683 690 2016
- Galdi , V. , Ippolito , L. , Piccolo , A. , and Vaccaro , A. A Genetic Based Method for Hybrid Electric Vehicle Sizing Soft Computing 6 451 457 2001
- Alegre , S. , Míguez , J.V. , and Carpio , J. Modelling of Electric and Parallel-Hybrid Electric Vehicle Using Matlab/Simulink Environment and Planning of Charging Stations through a Geographic Information System and Genetic Algorithms Renewable and Sustainable Energy Reviews 74 1020 1027 2017
- Fang , L.-C. and Qin , S.-Y. Concurrent Optimization for Parameters of Powertrain and Control System of Hybrid Electric Vehicle Based on Multi-Objective Genetic Algorithms SICE-ICASE International Joint Conference 2006 Oct 18-21, 2006
- Montazeri-Gh , M. , Poursamad , A. , and Ghalichi , B. Application of Genetic Algorithm for Optimization of Control Strategy in Parallel Hybrid Electric Vehicles Journal of the Franklin Institute 343 420 435 2006
- Speirs , J. , Contestabile , M. , Houari , Y. , and Gross , R. The Future of Lithium Availability for Electric Vehicle Batteries Renewable and Sustainable Energy Reviews 35 183 193 2014
- Wegmanna , R. , Dögea , V. , and Sauer , D.U. Assessing the Potential of an Electric Vehicle Hybrid Battery System Comprising Solid-State Lithium Metal Polymer High Energy and Lithium-Ion High Power Batteries Journal of Energy Storage 18 175 184 2018
- Piccolo , A. , Ippolito , L. , Galdi , V. Z. , Vaccaro , A. Optimisation of Energy Flow Management in Hvbrid Electric Vehicles via Genetic Algorithms 2001 IEEUASME International Conference on Advanced Intelligent Mechatronics Proceedings July, 6-12 2001
- Ehsani , M. , Gao , Y. , and Emadi , A. Modern Electric, Hybrid Electric and Fuel Cell Vehicles Second CRC Press Taylor & Francis
- Salkind , A.J. , Fennie , C. , Singh , P. , Atwater , T. , and Reisner , D.E. Determination of State-of-Charge and State-of-Health of Batteries by Fuzzy Logic Methodology Journal of Power Sources July 1999
- Huet , F. A Review of Impedance Measurements for Determination of the State-of-Charge or State-of-Health of Secondary Batteries Journal of Power Sources 70 1 59 69 January 30, 1998
- Blanke , H. , Bohlen , O. , Buller , S. , Rik , W. , and Doncker , D. Impedance Measurements on Lead-Acid Batteries for State-of-Charge, State-of-Health and Cranking Capability Prognosis in Electric and Hybrid Electric Vehicles Journal of Power Sources 144 2 418 425 June 15, 2005
- Singh , P. , Jr , C.F. , and Reisner , D. Fuzzy Logic Modelling of State-of-Charge and Available Capacity of Nickel/Metal Hydride Batteries Journal of Power Sources 136 2 322 333 October 1, 2004
- Plett , G.L. Extended Kalman Filtering for Battery Management Systems of LiPB-Based HEV Battery Packs: Part 1. Background Journal of Power Sources 134 2 252 261 August 12, 2004
- Schwunk , S. , Armbruster , N. , Strau , S. , Kehl , J. , and Vetter , M. Particle Filter for State of Charge and State of Health Estimation for Lithium-Iron Phosphate Batteries Journal of Power Sources 239 705 710 October 1, 2013
- Chris , Z.C.C. , Fu , M.Y. , and Gong , X.X. Online Battery State of Health Estimation Based on Genetic Algorithm for Electric and Hybrid Vehicle Applications Journal of Power Sources 240 184 192 October 15, 2013
- Tsang , K.M. and Chan , W.L. State of Health Detection for Lithium ion Batteries in Photovoltaic System Energy Conversion and Management 65 7 12 January 2013
- Feng , X. , Li , J. , Ouyang , M. , Lu , L. et al. Using Probability Density Function to Evaluate the State of Health of Lithium-Ion Batteries Journal of Power Sources 232 15 209 218 June 2013
- Schouten , N.J. , Salman , M.A. , and Kheir , N.A. Energy Management Strategies for Parallel Hybrid Vehicles Using Fuzzy Logic Control Eng Pract 11 171 177 2003
- Assanis , D. , Delagrammatikas , G. , Fellini , R. , Filipi , Z. et al. Optimization Approach to Hybrid Electric Propulsion System Design Mech Struct Mach 27 393 421 1999
- Kleimaier , A and Schroeder , D. Optimization Strategy for Design and Control of a Hybrid Vehicle Proceedings of the 6th International Workshop on Advanced Motion Control Nagoya, Japan April 2000 459 464
- Lin , C.C. , Peng , H. , Grizzle , J.W. , and Kang , J.M. Power Management Strategy for a Parallel Hybrid Electric Truck IEEE Trans Control Syst Technol 003 11 839 849
- Shams-Zahraei , M. , Kouzani , A.Z. , Kutter , S. , and Baker , B. Integrated Thermal and Energy Management of Plug-in Hybrid Electric Vehicles J Power Sources 216 237 248 2012
- LV , P.’e. , Bossio , G.R. , Moitre , D. , and Garcia , G.O. Optimization of Power Management in an Hybrid Electric Vehicle Using Dynamic Programming Math Comput Simul 73 244 254 2006
- Xiong , R. , Li , L. , Li , Z. , and Yu , Q. An Electrochemical Model Based Degradation State Identification Method of Lithium-ion Battery for All-Climate Electric Vehicles Application Applied Energy 219 264 275 2018
- Hu , X. , Sun , F. , and Zou , Y. Comparison between Two Model-Based Algorithms for Li-Ion Battery SOC Estimation in Electric Vehicles Simulation Modelling Practice and Theory 34 1 11 2013
- Wang , Y. , Zhang , C. , and Chen , Z. Model-Based State-of-Energy Estimation of Lithium-ion Batteries in Electric Vehicles Energy Procedia 88 998 1004 2016
- Opitza , A. , Badamia , P. , Shena , L. , Vignaroobana , K. , and Kannan , A.M. Can Li-Ion Batteries Be the Panacea for Automotive Applications? Renewable and Sustainable Energy Reviews 68 685 692 2017
- Diao , W. , Jiang , J. et al. Energy State Health Estimation for Battery Packs Based on the Degradation and Inconsistency Energy Procedia 142 3578 3583 2017
- Tang , X. , Zoub , C. , Yao , K. et al. A Fast Estimation Algorithm for Lithium-Ion Battery State of Health Journal of Power Sources 396 453 458 2018
- Bai , G. , Wanga , P. , Hub , C. , and Pecht , M. A Generic Model-Free Approach for Lithium-Ion Battery Health Management Applied Energy 135 247 260 2014
- Mamun , A. , Sivasubramaniam , A. , and Fathy , H.K. Collective Learning of Lithium-Ion Aging Model Parameters for Battery Health-Conscious Demand Response in Datacenters Energy 154 80 95 2018
- Zhou , L. , Zhenga , Y. , Ouyang , M. , and Lu , L. A Simulation Study on Parameter Variation Effects in Battery Packs for Electric Vehicles Energy Procedia 105 4470 4475 2017
- Datong Liu , Yuchen Song , Lyu Li , Haitao Liao , Yu Peng 10.1016/j.jclepro.2018.06.182
- Zhou , X. , Stein , J.L. , and Ersal , T. Battery State of Health Monitoring by Estimation of the Number of Cyclable Li-Ions Control Engineering Practice 66 51 63 2017
- Meng , J. , Ricco , M. , and Acharya , A.B. Low-Complexity Online Estimation for LiFePO4 Battery State of Charge in Electric Vehicles Journal of Power Sources 395 280 288 2018
- Richardson , R.R. , Osborne , M.A. , and Howey , D.A. Gaussian Process Regression for Forecasting Battery State of Health Journal of Power Sources 357 209 219 2017
- Tang , X. , Liu , B. , Lv , Z. , and Gao , F. Observer Based Battery SOC Estimation: Using Multi-Gain-Switching Approach Applied Energy 204 1275 1283 2017
- Yang , Q. , Xua , J. , Caoa , B. , and Xu , D. State-of-Health Estimation of Lithium-Ion Battery Based on Interval Capacity Energy Procedia 105 2342 2347 2017
- Taob , L. , Maa , J. , Cheng , Y. , Noktehdand , A. et al. A Review of Stochastic Battery Models and Health Management Renewable and Sustainable Energy Reviews 80 716 732 2017
- Pan , H. , Lü , Z. , Wang , H. , Wei , H. , and Chen , L. 10.1016/j.energy.2018.06.220
- Gao , Y. and Ehsani , M. Design and Control Methodology of Plug-in Hybrid Electric Vehicles IEEE Transactions on Industrial Electronics 57 2 February 2010