Automotive and transportation Leading tier one supplier reduces controls development time by 75 percent with LMS Imagine.Lab Amesim Product LMS Business challenges Develop control strategies without physically testing algorithms Shorten selective catalytic reduction system development cycles Verify the viability of new ideas Accelerate controls calibration Identify and understand the impact of critical design parameters Keys to success Use of LMS Imagine.Lab Amesim to model and analyze complex multi-domain systems Earlier development of control strategies Co-simulation with Simulink Extensive predefined libraries and documentation Results Reduced controls development time by 75 percent Gained respect and trust from customers Won more contracts uses LMS Imagine.Lab Amesim to model its selective catalytic reduction systems Sustainable mobility solutions is a world-leading tier one automotive supplier. Its core businesses include the Auto Exterior division, which designs and manufactures body components and modules to make vehicles lighter, safer and more aerodynamic; and the Auto Inergy division, which is the global market leader for fuel systems. For the past ten years, the division has developed an onboard AdBlue storage and delivery system, which enables the use of selective catalytic reduction (SCR), a key technology to reduce nitrogen oxide (NOx) emissions of diesel engines. In the context of stringent emission and safety regulations, products become increasingly complex: it is now important not only to consider multi-domain aspects of the system, but also to study its interactions with the environment. Combining integrated safety and emissions control, the fuel systems must serve a number of functions: refueling, storage, ventilation, engine supply and fuel-level gauge systems. The Auto Inergy division applies the requirements management and V-cycle development approach, from the initial control system view to global system AdBlue delivery module in an AdBlue tank for selective catalytic reduction. validation, to manage the details of active systems for emission control. This includes designing control strategies for the whole perimeter and development of specific actuators, sensors and electronic control units (ECU). Considered the heart of the control system, the ECU is tuned according to the specificities of the system design and interfaces. The Advanced Innovation and Research department, part of the Auto Inergy division, develops and validates control systems for Auto Inergy products, and uses LMS Imagine.Lab Amesim software from product lifecycle management (PLM) specialist Siemens PLM Software. www.siemens.com/plm/lms
Predefined and validated LMS Amesim libraries are particularly useful to reduce our modeling efforts. On top of this, it is easy to execute the simulations without having to worry too much about the solver settings. To develop an algorithm for detecting leaks in the SCR system, performs LMS Amesim-Simulink co-simulation. Multi-domain systems simulation with LMS Amesim first used the LMS Amesim multi-domain systems simulation platform to model its selective catalytic reduction system. SCR is a means of converting NOx with the aid of a catalyst into diatomic nitrogen and water. The main driver for integrating LMS Amesim into the development process was the need to develop control strategies without having to physically test the algorithms. The department uses the Simulink environment to develop the control strategies, and needed a model representing the physical world. With ready-to-use multi-domain libraries, LMS Amesim was an ideal solution for creating the plant model. Predefined and validated LMS Amesim libraries are particularly useful to reduce our modeling efforts, says Jurgen Dedeurwaerder, senior expert, control systems architecture at. On top of this, it is easy to execute the simulations without having to worry too much about the solver settings. The reduction of the controls development time by 75 percent compared to our previous way of working was the determining factor in winning multiple contracts.
What I appreciate in LMS Amesim is the enormous amount of well-structured documentation. Thanks to this, it is perfectly feasible for any engineer to model and simulate systems even if they are not in your domain of competence. Engineers perform temporal analysis to study an algorithm reducing pressure oscillation that results from a pump design. also values the documentation included with LMS Amesim and the availability of technical support. What I appreciate in LMS Amesim is the enormous amount of well-structured documentation, says Dedeurwaerder. Thanks to this, it is perfectly feasible for any engineer to model and simulate systems even if they are not in your domain of competence. Personally I m an electronics engineer, but the documentation helped me to improve my knowledge in other domains considerably. The technical support is also a key differentiator compared to other tools. For the next step, engineers parameterized the system so that all of the components in the model respond as expected, according to test data or their specifications in data sheets. This step involved using LMS Amesim batch runs and design exploration tools to determine whether the parameter settings reflect actual behavior. Co-simulation verifies algorithms Once the model is ready, the team prepares it for co-simulation with Simulink, and uses the LMS Amesim to Simulink interface to couple the LMS Amesim plant model with the Simulink control model. We are using the Simulink interface of LMS Amesim in both directions, explains Dedeurwaerder. We integrate LMS Amesim models in Simulink to develop algorithms and we do the opposite to verify the robustness of the algorithms. The co-simulation using Simulink and LMS Amesim verifies the performance of the algorithm with respect to critical parameters by taking advantage of LMS Amesim batch runs and Monte Carlo analysis functionalities. During this step the team also determines a set of calibration values for the algorithm that results in acceptable performance for all potential configurations. By using LMS Amesim, we can reduce calibration effort and shorten development cycles since we can start earlier with the development of our control strategies and
The Bode plot enables engineers to study the sensitivity in function of frequency for a typical line configuration and troubleshoot the design if needed. the strategies are much more mature when entering the test phase, says Dedeurwaerder. We can also quickly verify the viability of new ideas, enabling the decision whether to continue or to stop investing in the idea. Independent of this typical development process, also investigates the system performance using temporal and frequency analysis. The main purpose for these investigations is to better understand physical phenomena observed during testing; for example, the influence of the hydraulic line parameters (connecting the pump with the injector) on the pressure at both sides of the line. With LMS Amesim, not only can we develop and fine-tune our models more efficiently, we also have gained a better insight into the global performance of our products, says Dedeurwaerder. Thanks to this in-depth understanding, we gained our key competitive advantage by offering our customers better flexibility and responsiveness. The reduction of the controls development time by 75 percent compared to our previous way of working was the determining factor in winning multiple contracts. Model-based systems engineering will become a necessity in the automotive industry. It offers a systematic design approach that facilitates the analysis of all potential use cases and interactions.
Solutions/Services LMS Imagine.Lab Amesim www. siemens.com/plm/ lms-amesim Customer s primary business is a world leader in automotive body components, fuel and energy storage systems and waste management solutions. Founded in 1946, Plastic Omnium has more than 22,000 employees, 111 factories and 22 research and development (R&D) centers in 30 countries, and annual revenues exceeding 5.3 billion. is the world leader of blowmolded fuel systems. In 2014, its 33 plants produced 18.4 million plastic fuel tank systems, representing a world market share of 21 percent. www.plasticomnium.com Customer location Brussels Belgium By using LMS Amesim, we can reduce calibration effort and shorten development cycles since we can start earlier with the development of our control strategies and the strategies are much more mature when entering the test phase. One of the next steps will undertake involves hardware-in-the-loop (HiL) testing. The model developed with LMS Amesim will be used in the HiL realtime test environment. The importance of model-based systems engineering Model-based systems engineering will become a necessity in the automotive industry, Dedeurwaerder asserts. It offers a systematic design approach that facilitates the analysis of all potential use cases and interactions. This makes analyzing the impact of modifications easier. Previously our technicians and test engineers were overloaded with the execution of experiments, which could be replaced by simulations. Now they have more time available to perform added-value testing and improve testing methodologies. MBSE also facilitates knowledge sharing between different teams - both internal and external, since the models can easily be exchanged and understood. Siemens PLM Software Americas +1 248 952 5664 Europe +32 16 384 200 Asia-Pacific +852 2230 3308 www.siemens.com/plm 2016 Siemens Product Lifecycle Management Software Inc. Siemens and the Siemens logo are registered trademarks of Siemens AG. LMS, LMS Imagine.Lab, LMS Imagine.Lab Amesim, LMS Virtual.Lab, LMS Samtech, LMS Samtech Caesam, LMS Samtech Samcef, LMS Test.Lab, LMS Soundbrush, LMS Smart, and LMS SCADAS are trademarks or registered trademarks of Siemens Industry Software NV or any of its affiliates. Simulink is a registered trademark of The MathWorks, Inc. All other trademarks, registered trademarks or service marks belong to their respective holders. 54490-Z5 2/16 A