Jozef Sakson (Schaeffler Kysuce spol s.r.o.)
The requirements for mechatronic systems in the area of Automotive are characterized by a high degree of complexity and integration. Great emphasis is placed on reliability, functional security and in the last miere aj on cyber security. Teams of developárov sú to the number of order in desiatkach up to hundreds, preto the use of modelov and simulation in individual areas is practically inseparable part of the development cycle.
In addition to the technical aspects of development is very important for OEM Manufacturer and Process Page. Required is the standard ASPICE (Automotive Software Process Improvement Capability dEtermination), which covers all technical domains. The basic element is the V-model, which divides the process into two parts. The left side of the letter V represents the design and development steps and the right side represents the testing steps. This way every development step reflected in testetcom step, the number of defects is thus minimized in the computer phase, far before the beginning of serial production.
Jaroslav Jirkovský (Humusoft s.r.o.)
The Model-Based Design method is based on the systematic use of simulation models across the development process. Simulations with a virtual propulsion system model provide quick insight into real-world behaviour, perform virtual testing of various scenarios and verify the functionality of embedded software (embedded sw). The use of models helps accelerate variant assessment, safely study boundaries and improve the overall quality of the system being developed.
Typical steps in the design of a propulsion system model in the MATLAB & Simulink environment include electric motor modelling (PMSM, BLDC, etc.), power electronics modelling (voltage converter, inverter), design and implementation of embedded software (control algorithms, virtual sensors), definition of test scenarios, simulation and results analysis. Component models can have different levels of detail depending on the requirements. The conclusion of the development process relies on the generation of source code (C/C++, HDL) from the proposed algorithms and its integration into the real environment.
Jaroslav Jirkovský (Humusoft s.r.o.)
MATLAB & Simulink provides a design environment in which it is possible to model battery cells, design different battery pack architectures, and evaluate the thermal and electrical behavior of batteries under normal and fault conditions. Parameterized battery cell models can be used, a custom battery model can be built, incorporating different effects, geometries and topologies, and complemented with a cooling system.
The aim of BMS (battery management system) algorithms is to ensure the required performance, safe operation and acceptable battery life in different operating modes and under different ambient conditions. Using simulation at the system level, it is possible to verify the functional aspects of BMS design, gain an overview of the dynamic behavior of the battery, verify the efficiency of BMS, and then use automatic code generation for its implementation on a real system. Typical tasks of BMS include monitoring the voltage and heating of the cells, estimating the state-of-charge and condition of the battery (state-of-health), controlling the appropriate charging profile, balancing the state of charge of individual cells or controlling the disconnection of the battery from the source/load if necessary.
Matouš Lorenc (Humusoft s.r.o.)
The shift to electromobility involves a whole spectrum of engineering challenges. First and foremost, it involves optimization of propulsion, large-capacity storage of electrical energy and other power elements of the system. FEM simulations are an effective tool for developing innovative solutions. In order for the model to faithfully simulate the real deployment of the system, it is necessary to include, in addition to the primary physical principle, phenomena that can negatively affect its overall efficiency. COMSOL Multiphysics allows you to connect a number of physical phenomena in a single simulation, thereby minimizing overheating, mechanical stress and other undesirable secondary manifestations. The lecture will guide you through examples of the use of complex FEM simulations by technological leaders in the field of electromobility.
Tomáš Fridrich (Humusoft s.r.o.)
In recent years, dSPACE has, among other things, focused on the area of E-mobility as the automotive industry is transformed towards electric and hybrid vehicles. Communication of the vehicle with the charging station, battery management system (BMS), electric drives. This is part of the concepts we encounter and each sub-part needs to be tested before it is put into operation. It is necessary to choose suitable simulation models that can run in real time while having a sufficient degree of accuracy. dSPACE offers models optimized to run on a real-time platform, from engine management to battery simulation. The models are open, allowing the user to parameter the models at their own discretion. The contribution will be a cross-section of real-time testing options in the E-mobility sector.