A5079718896- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Electric and Hybrid Vehicle Technologies
- Autonomous Vehicle Technology and Safety
- Vehicle emissions and performance
- Vehicle Dynamics and Control Systems
- Advancements in Battery Materials
- Transportation and Mobility Innovations
- Human-Automation Interaction and Safety
- Advanced Battery Materials and Technologies
- Real-time simulation and control systems
- Mechanical Engineering and Vibrations Research
- Traffic control and management
- Transportation Planning and Optimization
- Advanced Neural Network Applications
- Flexible and Reconfigurable Manufacturing Systems
- Robotic Path Planning Algorithms
- Electric Motor Design and Analysis
- Energy, Environment, and Transportation Policies
- Teleoperation and Haptic Systems
- Traffic Prediction and Management Techniques
- Urban Transport and Accessibility
- Traffic and Road Safety
- Robotics and Sensor-Based Localization
- Safety Systems Engineering in Autonomy
Technical University of Munich
2016-2025
MTU Aero Engines (Germany)
2014-2020
Applus+ IDIADA (Spain)
2019
Audi (Germany)
2018
Ludwig-Maximilians-Universität München
2013-2015
Klinikum rechts der Isar
2011-2014
München Klinik
2013
Volkswagen Group (Germany)
2001
Technical University of Darmstadt
1993-1996
Cornell University
1993
Object detection in camera images, using deep learning has been proven successfully recent years. Rising rates and computationally efficient network structures are pushing this technique towards application production vehicles. Nevertheless, the sensor quality of is limited severe weather conditions through increased noise sparsely lit areas at night. Our approach enhances current 2D object networks by fusing data projected sparse radar layers. The proposed CameraRadarFusion Net (CRF-Net)...
The launch of both battery electric vehicles (BEVs) and autonomous (AVs) on the global market has triggered ongoing radical changes in automotive sector. On one hand, new characteristics BEV powertrain compared to combustion type have resulted central parameters, such as vehicle range, which then become an important selling point. other components are yet not optimized sensors needed for driving still expensive, introduces cost structure. This transformation is limited itself but also...
With the rise of battery electric vehicles to mass production, many technical improvements have been realized drastically increase range, efficiency, and sustainability. However, insights into those valuable state-of-the-art solutions are usually not shared with researchers due strict non-disclosure policies vehicle manufacturers. Many studies, therefore, rely on assumptions, best-guess estimates, or insider knowledge. This article presents an in-depth multi-scale analysis powertrain...
Battery research depends upon up-to-date information on the cell characteristics found in current electric vehicles, which is exacerbated by deployment of novel formats and architectures. This necessitates open access to characterization data. Therefore, this study examines architecture performance first-generation Tesla 4680 cells detail, both electrical thermal investigations at cell-level disassembling one down material level including a three-electrode analysis. The teardown reveals...
Thermal runaway propagation mitigation is a prerequisite in battery development for electric vehicles to meet legal requirements and ensure vehicle occupants' safety. depends on many factors, e.g., cell spacing, intermediate materials, the entire stack setup. Furthermore, choice of chemistry plays decisive role safety design system. However, studies considering only focus level or neglect energetic impacts measures system integration. This leads conflict objectives between energy density. In...
ABSTRACT This paper shows a software stack capable of planning minimum curvature trajectory for an autonomous race car on the basis occupancy grid map and introduces controller design that allows to follow at handling limits. The path is generated using quadratic optimisation problem (QP) formulation. key contributions this are extension QP improved accuracy approximation, introduction constraints iterative invocation significantly reduce linearisation errors in corners. On resulting...
Abstract In 2017, the German ethics commission for automated and connected driving released 20 ethical guidelines autonomous vehicles. It is now up to research industrial sectors enhance development of vehicles based on such guidelines. current state art, we find studies how theories can be integrated. To best authors’ knowledge, no framework motion planning has yet been published which allows true implementation any practical policies. This paper makes four contributions: Firstly, briefly...
A significant disadvantage of battery electric vehicles compared to with internal combustion engines is their sharply decreased driving range at low temperatures. Two factors are primarily responsible for this range. On the one hand, energy demand cabin heating needs be supplied by vehicle’s since less waste heat available from powertrain, which could used cover demands. other a limited capability recuperate temperatures serves protect accelerated aging, ultimately leads regeneration. This...
Scenario understanding and motion prediction are essential components for completely replacing human drivers enabling highly fully automated driving (SAE-Level 4/5). In deeply stochastic uncertain traffic scenarios, autonomous software must act beyond existing rules predict critical situations in advance to provide safe comfortable rides. addition, comprehensive models intend not just reproduce, but rather encode the driver behavior, which requires profound scenario understanding. Hence,...
Abstract For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems, like, disk brakes or rearview mirrors. Autonomous racing series such as Roborace, F1Tenth, Indy Challenge (IAC) are envisioned playing a similar role within autonomous vehicle sector, serving proving ground new technology at limits of systems capabilities. This paper outlines software stack approach TUM Motorsport team their participation IAC, which holds two...
A key challenge in lithium-ion battery research is the need for more transparency regarding cell design and production processes of as well vehicle manufacturers. This study comprehensively benchmarks a prismatic hardcase LFP that was dismounted from state-of-the-art Tesla Model 3 (Standard Range). The process steps manufacturing peculiarities were traced by disassembling analyzing characteristics on material level. butterfly-design with two jelly rolls found order to minimize void volume...
Reliable detection and tracking of surrounding objects are indispensable for comprehensive motion prediction planning autonomous vehicles. Due to the limitations individual sensors, fusion multiple sensor modalities is required improve overall capabilities. Additionally, robust essential reducing effect noise improving state estimation accuracy. The reliability vehicle software becomes even more relevant in complex, adversarial high-speed scenarios at handling limits racing. In this paper,...
Data on state-of-the-art battery electric vehicles are crucial to academia; however, these data not published due non-disclosure policies in the industry. As a result, simulation models and their analyses based assumptions or insider information. To fill this information gap, we present comprehensive analysis of powertrain Tesla Model 3 Standard Range Plus (SR+) from 2020 with lithium iron phosphate (LFP) cells, focusing overall range. On vehicle level, observe resulting range multiple test...
In spring 2022, the German federal government announced responses to 2022 cost-of-living crisis. These included among others, a nationwide local public transport ticket for 9 Euro per month. Available only in June, July, and August it allowed unlimited travel on all regional services Germany. policy research, this is an almost unprecedented behavioral experiment that allows studying behavior effectiveness of such instruments. We observed natural with three-wave survey smartphone-based...
In order to improve the driving range and reduce cost of battery electric vehicles through a higher efficiency, this paper proposes adopt multilevel converters using low-voltage Si mosfets in powertrains. A mosfet inverter, conventional insulated-gate bipolar transistor (IGBT) SiC inverter are modeled compared reference vehicle over various cycles. The costs three solutions also compared. It is shown that has rather high efficiency realizes lowest among even when worst case considered....
The economic viability of reusing lithium-ion batteries obtained from electric vehicles is highly sensitive to increasing inner resistance and capacity fading cells. For decision making after removal the batteries, it necessary consider uncertainties in prediction remaining battery lifetime. purpose this article provide a way for lifetime by quantifying considering occurring uncertainties. According literature, major risks are non-linear change capacity, cell spreading exceeding critical...
A lack of telepresence is one the main challenges vehicle teleoperation, which degrades task performance human operator. This paper introduces a novel human-machine interface (HMI) using head-mounted display (HMD) to improve situation awareness and, consequently, The proposed HMI concept uses transmitted data camera as well LiDAR sensors remote illustrate 360° surroundings mixture real and virtual environments resulting system provides possibility precisely control with low additional load...