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第36届中国控制会议

作者： Shigeyuki Urano Masakatsu Nagai Junichi Kako Toyota Motor Corporation Advanced Unit Management System Development Div.

ISBN: (纸本)9781538629185

Exhaust Gas Recirculation（EGR） dilution/air lean Spark Ignition（SI） and Homogeneous Charge Compression Ignition（HCCI） engines have been developed to improve the engine thermal *** of the most important points of them is the improvement of the trade-off between the thermal efficiency and the combustion *** purpose of this research is to develop a control-method to achieve the full potential of the engine thermal *** methodology for adjusting the combustion to target heat-release pattern was proposed,and the method to minimize the parameters that should be controlled were discussed based on the combustion *** effectiveness of applying to homogenies lean-burn engine was described as an example.

关键词： automotive control control design internal combustion engine spark ignition engine EGR Lean CPS

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A Parallelized Method for Continuous-Time Models with Dependence on Calculation Order

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IFAC-PapersOnLine 2016年第11期49卷 685-690页

作者： Sata, Kota Azuma, Shun-ichi Ohata, Akira Toyota Motor Corporation Advanced Unit Management System Development Div. Shizuoka Japan Kyoto University Dept. of Systems Science Kyoto Japan Technova Inc. Tokyo Japan

The advancement of the engine control increases the amount of computation. The production ECU (Electronic Control unit), which is made of single-core architecture, cannot have a higher clock speed. Using multi-/many-core architecture is the only way to decrease execution time. However, when implementing the engine control software, various problems occur in utilization of the multi-/many-core ECU. One of the biggest problems is sequential structure of control software because the software can only execute with one core on the multi-/many-core ECU. The purpose of this paper is to describe the parallelized control design method, which has decomposed sequential structure and decreases execution time in the embedded multi-/many-core production ECU. © 2016

关键词： Control systems Automobile engines Computer architecture Continuous time systems Industrial electronics Internal combustion engines Parallel algorithms Servomechanisms Automotive control Continuous time models Control design Control design methods Ecus (electronic control unit) Electronic control units execution times Sequential structure

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Identification of Static Boundary Model Based on Gaussian Process Classification

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IFAC-PapersOnLine 2016年第11期49卷 787-792页

作者： Oyama, H. Yamakita, M. Sata, K. Ohata, A. Dept. of Mechanical and Control Engineering Tokyo Institute of Technology Tokyo Japan Advanced Unit Management System Development Div. TOYOTA MOTOR CORPORATION Shizuoka Japan TECHNOVA INC. Higashifuji Technical Center Toyota Motor Corporation Shizuoka Japan

Due to the needs for CO2emission reduction, the control region for automotive engine system is pushed toward the boundary between normal and abnormal engine operations such as knocking and misfiring. When an engine is operated outside of admissible region, the engine or the catalyst is seriously damaged or passengers feel very uncomfortable. Therefore the identification of the boundary is highly demanded. In this paper we propose a design of experiment (DoE) strategy based on the Gaussian process classifier (GPC) with the expectation propagation (EP) algorithm. In the experimental result, the proposed algorithm can identify the boundaries of an engine benchmark problem, provided by the joint research committee of the Society of Automotive engineers (JSAE) and Society of Instrument and Control engineers (SICE). © 2016

关键词： Gaussian distribution Classification (of information) Design of experiments Emission control engines Gas emissions Gaussian noise (electronic) engine control engine modelling Gaussian Processes Identification algorithms Model based controls Statistical design

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A Study of Numerical Error Caused by Parallelizing Complicated Continuous-Time Models with Dependence on Calculation Order

A Study of Numerical Error Caused by Parallelizing Complicat...

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第35届中国控制会议

作者： Kota Sata Shun-ichi Azuma Akira Ohata Toyota Motor Corporation Advanced Unit Management System Development Div.

The advancement of the engine control increases the amount of *** production ECU(Electronic Control unit),which is made of single-core architecture,cannot have a higher clock *** multi- / many-core architecture is the only way to decrease execution ***,when implementing the engine control software,various problems occur in utilization of the multi- / many-core *** of the biggest problems is sequential structure of control software because the software can only execute with one core on the multi- / many-core *** purpose of this paper is to evaluate numerical error caused by parallelizing complicated models using the proposed parallelized control design method[1],which has decomposed sequential structure and decreases execution time in the embedded multi- / many-core production ECU,and evaluate the performance of each parallelized term.

关键词： automotive control control design execution times electronic control units internal combustion engine parallel algorithms

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Knocking Detection in Gasoline engines Based on Probability Density Functions: A Mixed Gaussian Distribution Approach

Knocking Detection in Gasoline Engines Based on Probability ...

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IEEE Annual Conference on Decision and Control

作者： Tatsuya Ibuki Yasuhiro Awai Yoshihiro Sakayanagi Mitsuji Sampei Junichi Kako Department of Mechanical and Control Engineering Tokyo Institute of Technology Tokyo 152-8550 JAPAN Advanced Engine Management System Development Div. Unit Center Toyota Motor Corporation Shizuoka 410-1193 JAPAN

ISBN: (纸本)9781479978878

This paper proposes an engine knocking detection approach based on probability density functions (PDFs). In this work, we suppose that the PDF of knocking intensity distribution can be approximated by a mixture of two Gaussian functions due to normal combustion and abnormal one. We first apply EM (Expectation-Maximization) algorithm to actual engine data to show that the knocking intensity probability distribution can be successfully estimated by the mixed Gaussian distribution. We next try to apply the existing online EM algorithm in view of the actual implementation by an engine control unit. However, since the existing algorithm is built for the estimation of a fixed PDF, the effect of new input data is gradually attenuated and vanishes after long time. We thus newly propose a modified online EM algorithm so that the effect of the new input data is not attenuated. Finally, we perform simulations and an actual engine bench test for the validity of the present approach.

关键词： expectation-maximisation algorithm gasoline engine Gaussian distribution incoming data Probability density function engine pedestal

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A new dynamic combustion control based on in-cylinder conditions for diesel engines

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Review of Automotive engineering 2009年第1期30卷 43-50页

作者： Nakayama, Shigeki Ibuki, Taku Matsunaga, Akio Fukuma, Takao Advanced Power Train Engineering Div. 1 R and D Group 2 Toyota Motor Corporation 1200 Mishuku Susono Shizuoka Japan Advanced Power Train Engineering Div. 2 R and D Group 2 Toyota Motor Corporation 1200 Mishuku Susono Shizuoka Japan Engine Management System Planning Dept. Engine Management System Development Div. Toyota Motor Corporation 1 Toyota-cho Toyota Aichi Japan

A model-based combustion prediction controller was developed to carry out control operations while predicting ignition based on the physical condition inside the cylinder. This model calculates the intake gas O2 fraction without a delay similar to measurement by the O2 sensor. It calculates the O2 content of the EGR passage outlet gas by taking into consideration the transfer of gas inside the passage for each intake stroke. Then it calculates the O2 content of the intake gas that is mixed with EGR gas according to the EGR ratio. The ignition timing control was implemented and its control precision was verified. In order to carry out the calculations within the time limit required for the cycle-by-cycle control operation, a purpose-built high-speed ECU was used. By predicting and controlling the ignition period through observation of the physical condition inside the cylinder, misfire during changes in driving conditions can be prevented in advance, and the torque response as well as any increase in emissions can also be controlled.

关键词： Ignition

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Abstracts

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Environmental management 1977年第1期1卷 67-96页

作者： Frankenfeld, John W. Schulz, Wolfgang McMurty, George J. Petersen, Gary W. May, G. A. Hering, F. S. Schwartz, J. I. Heywood, J. B. Chigier, N. A. Grohse, E. W. Walker, J. D. Colwell, R. R. Petrakis, L. Pergament, H. S. Thorpe, R. D. Schoepf, Richard W. Krzyczkowski, Roman Henneman, Suzanne S. Hudson, Charles L. Putnam, Evelyn S. Thiesen, Donna J. Parks, G. A. McCarty, Perry L. Leckie, J. O. Schrumpf, Barry J. Simonson, G. H. Paine, D. P. Lawrence, R. D. Pyott, W. T. Leh, M. Elders, W. Combs, J. Caplen, T. Harrison, F. L. Wong, K. M. Heft., R. E. Charnell, Robert L. Lehmann, Edward J. Mallon, Lawrence G. Hatfield, Cecile Adams, Gerald H. Johanning, James Talvitie, Antti Noll, Kenneth E. Miller, Terry Smiarowski, Joseph F. Willis, Cleve E. Foster, John H. Schlesinger, Benjamin Daetz, Douglas Lear, Donald U. Smith, Mona F. Hundemann, Audrey S. Crockett, Pernell W. Werner, Kirk G. Carroll, Thomas E. Maase, David L. Genco, Joseph E. Ifeadi, Christopher N. Lowman, F. G. Christensen, S. W. Van Winkle, W. Mattice, J. S. Harrison, Elizabeth A. Barker, James C. Chesness, Jerry L. Smith, Ralph E. Shaheeen, Donald G. Raney, R. Keith Borton, T. Wezernak, C. T. Raney, R. K. Sherwani, Jabbor K. Moreau, David H. Eisenberg, Norman A. Lynch, Cornelius J. Breeding, Roger J. Johnson, J. D. Foster, K. E. Mouat, D. A. Clark, R. Hyden, John William Owen, Wilfred Bayfield, Neil G. Barrow, Graham C. Stolz, Stephanie B. Wienckowski, Louis A. Brown, Betram S. Keyfitz, Nathan Wilson, W. L. Newman, Peter W. G. Bammi, Deepak Bammi, Dalip Goddard, James E. Chisholm, Tony Walsh, Cliff Brennan, Geoffrey Thompson, K. S. Richardson, R. Jensen, Clayton E. Brown, Dail W. Mirabito, John A. Cowing, Thomas G. Binghamton, Suny Siehl, George H. Albrecht, O. W. Alexander, Ariel Barde, Jean -Philippe Darby, William P. McMichael, Francis Clay Dunlap, Robert W. Muckleston, Keith W. Frankenhoff, Charles A. Giulini, Lorenzo T. Wyatt, T. Black, Peter E. Keating, William Thomas Leonard, M. E. Fisher, E. L. Brunelle, M. F. Dickinson, J. E. Pethig, Rudiger Clapham Exxon Research & Engineering Co. Linden Government Research Lab Coast Guard Washington D.C. Department of Transportation Washington D.C. Office For Remote Sensing of Earth Resources. NASA Earth Resources Survey Program Pennsylvania State University Washington D.C. Department of the Navy Washington D.C. Cambridge. Dept. of Mechanical Engineering Massachusetts Inst. of Technology USA Huntsville. School of Graduate Studies and Research Alabama Univ. USA Dept. of Microbiology. Office of Naval Research Maryland Univ. Arlington Research and Development Co. Pittsburgh AeroChem Research Labs. Inc. Princeton Dept. of the Interior Office of Library Services. Bibliographic Series (Final) Washington D.C. Interplan Corp. Santa Barbara Urban Mass Transportation Adm. Washington D.C. Naval Underwater Systems Center Newport Calif. Mercury Project. National Science Found Stanford Univ Washington D.C. Div. of Advanced Environmental Research & Tech. USA Corvallis. NASA Earth Resources Survey Program Oregon State Univ. Washington D.C. Riverside. Inst. of Geophysics and Planetary Physics National Science Foundation California Univ. Washington D.C. Livermore Lawrence Livermore Lab. California Univ. USA Atlantic Oceanographic and Meteorological Labs. National Oceanic and Atmospheric Administration Miami National Technical Information Service Springfield Miami Univ. Coral Gables School of Law National Oceanic and Atmospheric Administration Rockville National Academy of Sciences Office of Sea Grant Washington D. C. School of Law National Oceanic and Atmospheric Administration Office of Sea Grant. Rockville Norman. Dept. of Civil Engineering and Environmental Science. Urban Mass Transportation Administration Oklahoma Univ. Washington D. C. Knoxville.Dept. of Civil Engineering. Federal Highway Administration Tennessee Univ. Washington D. C. Amherst.Water Resources Research Center. Office of Water Research and Technology Massachusetts Univ. Washington D. C. Calif. Dept. of Industria

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40th EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

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Diabetologia 2004年第SUPPL 1期47卷 A1-A464页

作者： Veitenhansl, M. Stegner, K. Hierl, F.-X. Dieterle, C. Feldmeier, H. Gutt, B. Landgraf, R. Garrow, A. P. Vileikyte, L. Findlow, A. Waterman, C. Boulton, A. J. M. Shankhdhar, K. Shankhdhar, L. Shankhdhar, U. Petrova, N. L. Foster, A. V. M. Edmonds, M. E. Ferraresi, R. Caravaggi, C. De Giglio, R. Cavaiani, P. Pogliaghi, I. Sommariva, E. Katz, I. A. Harlan, A. Miranda-Palma, B. Prieto-Sanchez, L. Armstrong, D. G. Bowker, J. H. Mizel, M. S. Cernea, S. Wohlgelernter, J. Kidron, M. Modi, P. Raz, I. Arbit, E. Nosek, L. Kapitza, C. Beckett, P. Gelfand, R. Goldberg, M. Heise, T. Testa, M. A. Turner, R. R. Hayes, J. F. Scranton, R. E. Simonson, D. C. Yang, Y.-W. Hsu, Y.-J. Naujok, O. Francini, F. Jörns, A. Tiedge, M. Lenzen, S. Abdel-Wahab, Y. H. A. Marenah, L. Orr, D. F. Shaw, C. Flatt, P. R. Chokkalingam, K. Mansell, P. I. Clausen, P. Ekbom, P. Damm, P. Feldt-Rasmussen, U. Nielsen, B. Mathiesen, E. R. Feldt-Rasmussen, B. Dewan, S. Da Silva, N. Ternan, P. Mc Leong, K. S. Wilding, J. P. H. Asatiani, N. Kurashvili, R. Dundua, M. Shelestova, E. Pagava, K. Ramazashvili, M. Hod, M. Smirnov, S. Petersen, J. L. A. Justesen, T. I. Ringholm Nielsen, L. Müller, C. Højlund, K. Wensaas, A. Kase, E. T. Aas, V. Rustan, A. C. Thoresen, G. H. Levin, K. Beck-Nielsen, H. Gaster, M. Im, S.-S. Kang, S.-Y. Kim, S.-Y. Ahn, Y.-H. Lihn, A. S. Schmoll, D. Werner, T. Kienitz, A. Meyer, M. Barthel, A. Ailett, F. Sutherland, C. Walther, R. Grempler, R. Sasson, S. Reich, R. Tenenbaum, T. Alpert, E. Anfossi, G. Russo, I. Traversa, M. Massucco, P. Mattiello, L. Doronzo, G. Trovati, M. Lally, S. Tan, C. Y. Owens, D. Tomkin, G. H. Porchay, I. Péan, F. Bellili, N. Betoulle, D. Balkau, B. Tichet, J. Marre, M. Fumeron, F. Chatellier, G. Alhenc-Gelas, F. Nichols, G. A. Brown, J. B. Hayes, R. P. Bowman, L. Drexel, H. Saely, C. H. Marte, T. Benzer, W. Langer, P. Hoefle, G. Moll, W. Aczel, S. Karagiannis, E. Lübben, G. Urquhart, R. Edwards, G. Bruce, S. Howlett, H. S. C. Cugnardey, N. Turner, K. C. Park, J.-S. Fiedorek, F. T. Avogaro, A. Gallo, A. Pinton, P. Riz Innenstadt Klinikum der Universität München München Germany Diabetes Center Medizinische Klinik München Germany Medicine The University of Manchester Manchester UK Medicine University of Manchester Manchester UK Podiatry The University of Salford Manchester UK Department of Medicine/Division of Endocrinology Diabetes and Metabolism University of Miami Miami USA Department of Medicine Manchester Royal Infirmary Manchester UK Podiatry L.K.Diabetes Centre Lucknow India Diabetology L.K.Diabetes Centre Lucknow India Medical Nutrition L.K.Diabetes Centre Lucknow India Diabetic Foot Clinic King’s College Hospital London UK Haemodinamic Department - Cardiovascular Division Magenta Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Abbiategrasso Italy Department of Orthopedics University of Miami Miami USA Department of Surgery Southern Arizona Veterans Affairs Medical Center Tucson USA Surgery Southern Arizona VA Medical Center Tucson USA Podiatric Medicine and Surgery Rosalind Franklin University School of Medicine and Science North Chicago USA Diabetes Department Center of Diabetes Nutrition and Metabolic Disorders Clug-Napoca Romania Diabetes Unit Hadassah University Hospital Jerusalem Israel Diabetes Unit Hadassah Hebrew University Hospital Jerusalem Israel Research Department Generex Biotechnology Corporation Toronto Canada Hadassah Hebrew University Hospital Jerusalem Israel Medical Research Emisphere Technologies Inc. New York USA Profil Institut fuer Stoffwechselforschung GmbH Neuss Germany Profil Institute for Metabolic Research Neuss Germany Management Profil Inst. für Stoffwechselforschung Düsseldorf Germany Institute for Metabolic Research Profil Neuss Germany Biostatistics Harvard School of Public Health Boston USA Clinical Research Phase V Technologies Wellesley Hills US

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