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        | PROFESSIONAL EDITION | August 2012 | Issue 8 |  
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            | Mathematics-Based Modeling of a Series-Hybrid Electric VehicleThursday, September 27th at 10:00 am EDT
 
  The automotive industry is in transformation. The complexity of the   automobile has increased exponentially in the past decades and has triggered a   design revolution that stresses detailed modeling and simulation steps prior to   committing to metal and plastic. With new generation vehicles deploying hybrid   (HEV), fully electric (EV), and fuel cell powerplants, the need for advanced   physical modeling solutions is considerably greater due to increasing system   complexity. This webcast covers new approaches to modeling and simulation for   HEV and EV vehicle applications with emphasis on the development of   high-fidelity physical models of automotive batteries. To speed up the design   and prototyping processes of HEVs, a method that automatically generates   mathematics equations governing the vehicle system response in an optimized   symbolic form is desirable. To achieve this goal, the physical modeling tool   MapleSim was employed to develop the multidomain model of a series-HEV, using   the symbolic computing algorithms of the Maple software package to generate an   optimized set of governing equations. The HEV model consists of a mean value   internal-combustion engine, a Li-ion battery pack, and a multibody vehicle   model. Simulations are then used to demonstrate the performance of the HEV   system. Simulation results show that the model is viable and the number of   governing equations is reduced significantly, resulting in a computationally   efficient system. Webcast attendees will be invited to interact with the   speakers during the program's live Q&A segment.
 
                
                  
                    | Presenters: |  
                    |  | Dr. John McPhee, Professor, Systems Design Engineering, University of   Waterloo, and NSERC/Toyota/Maplesoft Industrial Research Chair,   Mathematics-based Modeling and Design Dr. John   McPhee's main area of research is multibody system dynamics, with principal   application to the analysis and design of vehicles, mechatronic devices, and   biomechanical systems. He has won many awards, including a Premier's Research   Excellence Award and the I.W. Smith Award from the Canadian Society of   Mechanical Engineers. He completed his term in 2009 as the Executive Director of   the Waterloo Centre for Automotive Research, spending a sabbatical year at the   Toyota Technical Center in Ann Arbor, Michigan. He holds a Ph.D. in mechanical   engineering from the University of Waterloo, Canada.
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                    |  | Dr. Sam Dao, Application Engineer, Maplesoft Dr. Sam Dao received his Ph.D. degree in mechatronics from the   Department of Mechanical and Mechatronics Engineering at the University of   Waterloo. He is currently an Application Engineer at Maplesoft. He has been   involved in many research projects including multiple robot networking, hybrid   electric vehicle modeling, and battery modeling.
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                | Maplesoft Events  
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                | 9th International Modelica Conference 2012 September 3-5
 Munich, Germany
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                | MSO-Tools 2012 September 24-26
 Berlin, Germany
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                | For further details about these events, click here.
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                  | Modern techniques bring system-level modeling to the automation industryWith industry experiencing ever increasing pressure for shorter and shorter   engineering design cycles, engineers are finding that they can save significant   time by determining the properties of their system before building a physical   prototype. For example, knowing the expected forces and accelerations present   within a system allows for proper sizing of actuators. While system-level   modeling is becoming increasingly common for mechatronic designs in the   automotive and aerospace industries, it has yet to proliferate in the automation   industry. This is likely due to perceptions that system-level modeling is   time-consuming and requires a high level of mathematical expertise for model   derivations. Traditionally, this has been true: the typical “signal-flow”   process required lengthy, error-prone, hand-derivation of system equations and   usually resulted in a complex block diagram. Recent advances in engineering   design technology, however, have enabled a better, modern approach to   system-level modeling and simulation. This whitepaper explores this new technology, using applications in MapleSim™   together with Automation Studio from B&R Automation to illustrate the   approach and explore some of the resulting benefits. This paper then highlights   how the modern technologies incorporated in MapleSim benefit system-level design   in general.  For more information, click here to read the full whitepaper. 
 Symbolic Computation Techniques for Multibody Model Development and Code Generation
  Multibody models can generate large systems of differential algebraic   equations (DAEs). These equations can take a significant amount of time to solve   numerically and often the modeller needs to make difficult decisions between   model fidelity and simulation speed.
 This webinar presents some of the benefits of a general purpose symbolic   computation environment when constructing and generating simulation code for   multibody, multi-domain systems.  Specifically, it considers how tools provided   by these environments can be harnessed to generate highly efficient simulation   code through coordinate selection, symbolic manipulation, and expression   optimization.  
   
  Revamped MapleSim Model Gallery
 The MapleSim Model Gallery has been dramatically revamped and now includes over 100 models. Discover the breadth and depth of MapleSim by browsing the real-world   application examples from the MapleSim Model Gallery. The gallery currently contains examples from the following industries: Academic, Aerospace, Motion Control, Power Industries, Vehicle Engineering.
 If your industry is not listed, or you want to discover   more application examples, speak to our MapleSim   experts for a personalized demonstration of how MapleSim can benefit you in   your industry. |  |  
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                      |  MAPLESOFT IN THE PRESS  |  
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                          |  | Space Equipment Gets in the Loop -   MapleSim breaks new ground in HIL real-time simulation for planetary   rovers Desktop Engineering, August 7, 2012
 “Dr. Amir Khajepour, Canada Research Chair in Mechatronic   Vehicle Systems and a professor of engineering in the Mechanical and   Mechatronics Engineering department at the University of Waterloo (UW), and his   team worked with the Canadian Space Agency (CSA) and Maplesoft, to develop a   hardware-in-the-loop (HIL) test platform for solar-powered planetary rovers...   the main advantage of their approach is that it significantly reduces the   overall development time in the project.”
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                          |  | Transmission modeling and simulation:   key to reducing power loss Automotive Engineering Online, July 18, 2012
 “Over the last decade there has been a remarkable push toward   acausal modeling environments, such as MapleSim from Maplesoft, which takes a   different approach to modeling. Rather than representing mathematics directly,   models use components that contain governing equations, and it is incumbent on   the solver to perform the mathematical manipulation.”
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                          |  | Battery Design is Charging   Ahead Desktop Engineering, July 2, 2012
 “...the industry is turning increasingly to math-based modeling   techniques that allow engineers to accurately describe the behavior of the   system--and the constraints on the system--in physical terms. These model   equations are then used to develop, test and refine designs quickly, without   building physical prototypes. Hence, having a good virtual model of the battery   is essential so that both battery behavior and the physical interaction of the   battery with all the other components are properly reflected in the   model.”
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