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EN
Euro7 and California HD-OBD present a shift of approach in emissions control. Legislative bodies concentrate on individual vehicle conformity to standards during its lifetime on top of type approval processes in test environment. The main change is NOx trackers in software and sensors in the exhaust pipes of all vehicles. As a consequence of constant supervision not only single point faults are taken into account in the analysis, but also cumulative parameter drift of components due to aging. To achieve normative requirements and prevent emission standards violation during exploitation, methodologies known from automotive functional safety domain and SOTIF are used to evaluate and modify a propulsion system design. An illustrative example of analysis is presented in the paper.
PL
Rozwijany od lat 80. XX wieku standard OBD (On-Board Diagnostics) stanowi podstawę współczesnej diagnostyki pojazdów. W niniejszym artykule przedstawiono autorski projekt systemu diagnostyki pokładowej samochodu opracowany z wykorzystaniem podzespołów COTS (Commercial Off-The-Shelf). Podstawą systemu jest dedykowana aplikacja na platformę Raspberry Pi, która komunikuje się z modułem ELM327 za pomocą interfejsu Bluetooth. Aplikacja została opracowana w języku C++ przy użyciu środowiska QT Creator. W artykule przedstawiono koncepcję systemu, opis graficznego interfejsu użytkownika aplikacji oraz wyniki przykładowych testów.
EN
Developed since the 1980s, the on-board diagnostics (OBD) standard is the basis of modern vehicle diagnostics. This paper presents the original design of the car OBD system, developed with the use of commercial off-the-shelf (COTS) components. The system basis is a dedicated application for the Raspberry Pi platform, which communicates with the ELM327 module via the Bluetooth interface. The application was developed in C++ language using the QT Creator environment. The paper presents the system concept, description of the application’s graphical user interface (GUI) and the results of exemplary tests.
EN
Reducing energy consumption is a key focus for hybrid electric vehicle (HEV) development. The popular vehicle dynamic model used in many energy management optimization studies does not capture the vehicle dynamics that the in-vehicle measurement system does. However, feedback from the measurement system is what the vehicle controller actually uses to manage energy consumption. Therefore, the optimization solely using the model does not represent what the vehicle controller sees in the vehicle. This paper reports the utility factor-weighted energy consumption using a rule-based strategy under a real-world representative drive cycle. In addition, the vehicle test data was used to perform the optimization approach. By comparing results from both rule-based and optimization-based strategies, the areas for further improving rule-based strategy are discussed. Furthermore, recent development of OBD raises a concern about the increase of energy consumption. This paper investigates the energy consumption increase with extensive OBD usage.
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