Markus Lienkamp
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Why we need a standardized state of health measurement procedure for electric vehicle battery packs—a proposal for energy- and capacity-based metrics Open
Range and performance are key customer-relevant properties of electric vehicles. Both degrade over time due to battery aging, thus impacting business decisions throughout a vehicle’s lifecycle, such as efficient utilization and asset valua…
Design and evaluation of a closed-group, electric residential car-sharing system - Findings from a case study in Munich, Germany Open
Private car ownership is responsible for high greenhouse gas emissions and has a high space requirement. In theory, car-sharing is the cleaner alternative. However, despite decades of car-sharing availability in Germany, adoption remains l…
Out of Alignment: Fixing Overlapping Segments in German Car Classification Through Data-Driven Clustering Open
The passenger car market has experienced a radical shift: the rise of SUV, crossover vehicles, but also Battery Electric Vehicle (BEV) and Plug-In Hybrid Vehicle (PHEV), has blurred the borders between traditional vehicle segments as well …
To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Open
Autonomous vehicle perception typically relies on modular pipelines that decompose the task into detection, tracking, and prediction. While interpretable, these pipelines suffer from error accumulation and limited inter-task synergy. Unifi…
From Cell to Pack: Empirical Analysis of the Correlations Between Cell Properties and Battery Pack Characteristics of Electric Vehicles Open
Lithium-ion batteries are pivotal components in battery electric vehicles, significantly influencing vehicle design and performance. This study investigates the interactions between cell properties and battery pack characteristics through …
Why we need a standardized state of health definition for electric vehicle battery packs -- a proposal for energy- and capacity-based metrics Open
Range and performance are key customer-relevant properties of electric vehicles. Both degrade over time due to battery aging, thus impacting business decisions throughout a vehicle's lifecycle, such as efficient utilization and asset valua…
Electrify the Field: Designing and Optimizing Electric Tractor Drivetrains with Real-World Cycles Open
The electrification of tractors can increase the self-supply of renewable energy produced on the farm and reduce the operating costs of tractors. However, electric tractors face higher upfront costs than their diesel counterparts, as well …
VESPA: Towards un(Human)supervised Open-World Pointcloud Labeling for Autonomous Driving Open
Data collection for autonomous driving is rapidly accelerating, but manual annotation, especially for 3D labels, remains a major bottleneck due to its high cost and labor intensity. Autolabeling has emerged as a scalable alternative, allow…
Holistic Approach for Automated Reverse Engineering of Unified Diagnostics Service Data Open
Reverse engineering of internal vehicle communication is a crucial discipline in vehicle benchmarking. The process presents a time-consuming procedure associated with high manual effort. Car manufacturers use unique signal addresses and en…
Seasonal Trends and Sociodemographic Influences on Long-Distance Trips - A Full Year of GPS Tracking Data from Munich Open
This study provides insights into the rarely observed long-distance travel patterns of individuals. Collected smartphone tracking data from June 2022 to May 2023, focused on the Munich metropolitan region, allows us to investigate travel b…
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving Open
In autonomous systems, precise object detection and uncertainty estimation are critical for self-aware and safe operation. This work addresses confidence calibration for the classification task of 3D object detectors. We argue that it is n…
Approaching Current Challenges in Developing a Software Stack for Fully Autonomous Driving Open
Autonomous driving is a complex undertaking. A common approach is to break down the driving task into individual subtasks through modularization. These sub-modules are usually developed and published separately. However, if these individua…
Quantifying the State of the Art of Electric Powertrains in Battery Electric Vehicles: Comprehensive Analysis of the Two-Speed Transmission and 800 V Technology of the Porsche Taycan Open
In the automotive industry, battery electric vehicles (BEVs) represent the future of individual mobility. To establish a long-term market presence, innovative vehicle and powertrain concepts are essential, and therefore, identifying the mo…
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Open
Active Learning has proved to be a relevant approach to perform sample selection for training models for Autonomous Driving. Particularly, previous works on active learning for 3D object detection have shown that selection of samples in un…
The Overlooked Role of Battery Cell Relaxation: How Reversible Effects Manipulate Accelerated Aging Characterization Open
Aging experiments are pivotal for car manufacturers to ensure the reliability of their battery cells. However, realistic aging methods are time-consuming and resource-intensive, necessitating accelerated aging techniques. While these techn…