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The ongoing changes in the development of new power trains and the requirements due to driver assistance systems and autonomous driving could be the enabler for completely new brake system configurations. The shift in the brake load collective has to be included in the systems requirements for electric vehicles. Many alternative concepts for hydraulic brake systems, even for decentralized configurations, can be found in the literature. For a decentralized system with all state of the art safety functionalities included, four actuators are necessary. Therefore, the single brake module should be as cost-effective as possible. Previous papers introduced systems which are for example based on plunger-like concepts, which are very expensive and heavy due to the needed gearing and design. In this paper a comparison between a state of the art hydraulic brake system using an electromechanical brake booster, and a completely new decentralized hydraulic brake concept is presented.

Electric driven Vehicles (EV) can help reduce CO2 emissions caused by traffic. High acquisition costs and the limited driving range of electric vehicles are their major drawbacks. In the last few years many efforts in research have been made to increase the usability of EV's. A Battery Electric Vehicle (BEV) consists mainly of an electric motor and a battery. Both components allow regenerative braking, where kinetic energy can be transformed back to electric energy and stored in the battery during braking. Several types of Regenerative Braking Systems (RBS) already exist. These systems differentiate from each other by the concepts and strategies used, and therefore have different potential to increase the driving range of electric driven vehicles. Furthermore, the potential depends on the actual traffic situation and the actual state of the vehicle components.

This paper presents the further development, implementation and evaluation of a computer-aided engineering (CAE) method for tool-independent simulation model coupling with a function-based modular framework for entire-system simulations. For that purpose, the preliminary findings regarding the development process of the function-based modular framework are presented. Emanating from that, a hierarchical structure for consistent data distribution and deposition for separating the system to be simulated is introduced. Therein the boundaries of the subsystems are defined, to avoid overlapping and ensuring a consistent ratio of the subsystems. Thus, the exchangeability and the reuse of simulation models are supported. Additionally, a scheme for signal names of the subsystems interfaces is described to allow general interoperability between the subsystems within the function-based modular framework.

Electric Vehicles are subject to effects that lead to more or less rapid degradation of functions. This can cause hazards for the drivers and uninvolved road participants. For this reason, the must be detected and mitigated, to maintain the vehicle function even in critical situations until a safe operating mode can be established. This publication presents an intelligent digital twin, located in the edge and connected with an electric vehicle via 5G. That can improve the operation of electrified vehicles by enabling the online detection of abnormal situations in the electrified powertrain and vehicle dynamics. Its core component is the fault detection system, which is implemented based on a 1-Nearest Neighbor algorithm. It is initially trained on synthetic data, generated in CarMaker for real-world powertrain issues such as demagnetization and open-/short-switch failures, using detailed mathematical models.

The increasing adoption of battery electric vehicles (BEVs), driven by the EU's target of no internal combustion engine vehicles from 2035 onwards, is driving significant changes in the automotive industry. However, the high degree of electrification and the unique low-speed acceleration behavior of BEVs therefore lead to new challenges. Measuring the drivetrain power and efficiency in a reproducible way and obtaining meaningful results is one of the challenges. To address this challenge, a novel test method is developed that offers a simple and preferably modification-free approach to drivetrain power and efficiency measurements for BEVs, allowing for efficient and reproducible testing. Different paths for determining the drivetrain power with varied measurement efforts are presented and evaluated. The test method is designed to provide reliable and accurate results for BEVs.