Markus Lienkamp

Markus Lienkamp
Technische Universität München | TUM · Institute of Automotive Technology

Prof. Dr.

About

600
Publications
366,015
Reads
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3,420
Citations
Introduction
Electromobility - Vehicle Concepts: MUTE, Visio.M, aCar, Truck2030 - Driver Assistance and Autonomous Driving: Imagine, Teleoperation, Roborace - Smart Mobility - Vehicle Dynamics
Additional affiliations
November 2009 - present
Technische Universität München
Position
  • Professor (Full)
April 1995 - October 2009
Volkswagen AG
Position
  • Manager
April 1992 - March 1995
Technische Universität Darmstadt
Position
  • PhD Student
Education
August 1990 - August 1991
Cornell University
Field of study
  • Mechanical Engineering
October 1987 - April 1992
Technische Universität Darmstadt
Field of study
  • Mechanical Engineering

Publications

Publications (600)
Book
Full-text available
Die Corona-Krise wird den Wandel in der Automobilindustrie beschleunigen und der Elektromobilität noch schneller zum Durchbruch verhelfen. Wer früh begonnen hat, erntet nun die Früchte. Leider wird es aber viele Verlierer geben.
Book
Full-text available
The corona crisis will accelerate change in the automotive industry and contribute to an even faster breakthrough of electromobility. Those who started early are now reaping the rewards. Unfortunately, there will be many losers.
Article
Full-text available
The launch of both battery electric vehicles (BEVs) and autonomous vehicles (AVs) on the global market has triggered ongoing radical changes in the automotive sector. On the one hand, the new characteristics of the BEV powertrain compared to the combustion type have resulted in new central parameters, such as vehicle range, which then become an imp...
Book
Full-text available
Wie beinahe jede Industrie des letzten Jahrhunderts, ist auch die Nutzfahrzeugindustrie im Wandel. Dabei spielen, die aus dem Pkw-Bereich bekannten, Trends natürlich ebenso eine Rolle. Wir möchten uns hier allerdings auf zwei Trends beschränken, die maßgeblichen Einfluss auf die Treibhausgasemissionen und damit auf die Wahl des Antriebs haben. Zunä...
Article
Full-text available
The decarbonization of the transport sector, and thus of road-based transport logistics, through electrification, is essential to achieve European climate targets. Battery electric trucks offer the greatest well-to-wheel potential for CO2 saving. At the same time, however, they are subject to restrictions due to charging events because of their lim...
Preprint
Full-text available
Reliably predicting the motion of contestant vehicles surrounding an autonomous racecar is crucial for effective and performant planning. Although highly expressive, deep neural networks are black-box models, making their usage challenging in safety-critical applications, such as autonomous driving. In this paper, we introduce a structured way of f...
Article
Full-text available
Eco-driving algorithms optimize the speed profile to reduce the energy consumption of a vehicle. This paper presents an eco-driving algorithm for battery electric powertrains that applies a split loss integration approach to incorporate the component losses. The algorithm consistently uses loss models to overcome the drawbacks of efficiency maps, w...
Preprint
With the rise of AI and automation, moral decisions are being put into the hands of algorithms that were formerly the preserve of humans. In autonomous driving, a variety of such decisions with ethical implications are made by algorithms for behavior and trajectory planning. Therefore, we present an ethical trajectory planning algorithm with a fram...
Preprint
Full-text available
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in energy and mobility. These measures include among others, a nation-wide public transport ticket for 9 EUR per month and a fuel tax cut that reduces fuel prices by more than...
Poster
Full-text available
To increase the competitiveness of battery electric long-haul trucks, industry is developing a charging standard which is capable of providing up to 3,75MW charging power. The resulting possibility of en-route fast-charging has a significant impact on the sizing of the battery system and on the required properties of the used cell, minimizing the d...
Poster
Full-text available
To meet the coming challenges of significant expansion of vehicle electrification around the world, it is crucial for cell manufacturers to supply high quality lithium-ion cells for xEV performance requirements at low scrap rates for both capital and competitive reasons. Hence, it is of great interest to examine the cells produced rapidly and exten...
Conference Paper
Full-text available
Sizing a battery thermal management system (BTMS) for worst-case scenarios ensures that the battery is always operated in the preferred temperature window, but requires large, heavy, expensive cooling systems, and may cause large temperature differences within and between the cells. A control strategy that activates the cooling system at low cell t...
Poster
Full-text available
Automotive battery cells underly a wide range of different cycling conditions and load regimes in real-world usage. Currently, academic research is being conducted mostly on cell types that are non-relevant for automotive applications. Furthermore, the tests predominantly contain abstracted, synthetic load conditions with questionable transferabili...
Preprint
Full-text available
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in energy and mobility. These measures include among others, a nation-wide public transport ticket for 9 EUR per month and a fuel tax cut that reduces fuel prices by more than...
Preprint
Full-text available
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, or the Indy Autonomous Challenge (IAC) are envisioned as playing a similar role within the autonomous vehicle sector, serving as a proving ground f...
Article
Full-text available
Computer vision has great potential to accelerate the global scale of photovoltaic potential analysis by extracting detailed roof information from high-resolution aerial images, but the lack of existing deep learning datasets is a major barrier. Therefore, we present the Roof Information Dataset for semantic segmentation of roof segments and roof s...
Article
Electrochemical-mechanical interactions, especially pressure-induced ones, have been identified to be a cause for lithium-plating in lithium-ion cells. Mechanically induced porosity inhomogeneities in the separator layers due to electrode expansion during charging especially lead to cell internal balancing currents and can cause localized plating....
Article
Short range remains a major disadvantage of battery electric vehicles compared to vehicles that have combustion engines. Range reductions also result from low ambient temperatures and from battery aging. By varying power of the heating system depending on the highly fluctuating propulsion power and using electrothermal recuperation, range losses ca...
Article
Full-text available
Geographic distance between supply and demand reduces spatial accessibility. Vehicles have been contributing to improved spatial accessibility by offering transport services for people and goods. From traditional trucks to mobile health clinics, vehicles can offer a wide range of functionalities on wheels. To develop context-specific vehicles-based...
Article
The number of electric vehicles is increasing worldwide. Due to the high energy density of their Li-ion batteries, these vehicles are gaining acceptance among customers. Nevertheless, Li-ion batteries experience calendric and cyclic aging over the lifetime of the vehicle, leading to a reduction in performance and range. For economical and sustainab...
Article
The battery thermal management system (BTMS) of a lithium-ion battery aims to prevent accelerated battery aging at elevated temperatures and reduced operability at low temperatures. Cooling or heating the battery prevents it from being operated outside the preferred temperature window but increases energy consumption, increases maintenance costs an...
Article
In recent years, in-depth analysis of the manifold properties of commercial lithium-ion batteries has gained increasing attention, as it fosters optimized design and operational strategies of battery-powered applications such as battery electric vehicles. However, various properties are not easily accessible and experimental determination requires...
Article
Full-text available
With the rise of battery electric vehicles to mass production, many technical improvements have been realized to drastically increase the electric range, efficiency, and sustainability. However, insights into those valuable state-of-the-art solutions are usually not shared with researchers due to the strict non-disclosure policies of electric vehic...
Chapter
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Autonomous Motorsports will participate in the Indy Autonomous Challenge in October 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara AV-21 racecars at the Indianapoli...
Poster
Full-text available
In large-scale production, lithium-ion battery cells are usually classified only according to the two characteristics of capacity and internal resistance, provided there are no optical defects, geometric tolerance violations, high self-discharge rates or weight overruns. However, since cells are almost exclusively connected in groups (XsYp) in the...
Poster
Full-text available
Access to up-to-date information on lithium-ion cells is crucial for a wide range of academic research areas. However, researchers generally do not have access to the latest cells from large manufacturers and therefore have to rely cells available on online marketplaces. To quantify the state of these cells, we collected data on 495 unique cells f...
Article
Scenario understanding and motion prediction are essential components for completely replacing human drivers and for enabling highly and fully automated driving (SAE-Level 4/5). In deeply stochastic and uncertain traffic scenarios, autonomous driving software must act beyond existing traffic rules and must predict critical situations in advance to...
Preprint
Full-text available
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate in the Indy Autonomous Challenge in Octo-ber 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara AV-21 racecars at the Indianapo...
Preprint
Full-text available
In literature, scientists describe human mobility in a range of granularities by several different models. Using frameworks like MATSIM, VehiLux, or Sumo, they often derive individual human movement indicators in their most detail. However, such agent-based models tend to be difficult and require much information and computational power to correctl...
Article
Solving a Minimum Lap Time Problem (MLTP), under the constraints stemming from a race car's driving dynamics, can be considered to be state of the art. Nevertheless, when dealing with electric race vehicles as in Formula E or the Roborace competition, solving an MLTP is not enough to form an appropriate competition strategy: Maximum performance ove...
Article
Full-text available
Automation and electrification are changing vehicles and mobility. Whereas electrification is mainly changing the powertrain, automation enables the rethinking of the vehicle and its applications. The actual driving range is an important requirement for the design of automated and electric vehicles, especially if they are part of a fleet. To size t...
Article
Full-text available
Autonomous Racing is gaining increasing publicity as an attractive showcase of state-of-the-art technologies and the enhanced algorithms used for autonomous driving. The Indy Autonomous Challenge (IAC) tackled autonomous high-speed wheel-to-wheel racing at the famous Indianapolis Motor Speedway (IMS) in October 2021. To solve this problem, advanced...
Article
Full-text available
In 2017, the German ethics commission for automated and connected driving released 20 ethical guidelines for autonomous vehicles. It is now up to the research and industrial sectors to enhance the development of autonomous vehicles based on such guidelines. In the current state of the art, we find studies on how ethical theories can be integrated....
Article
Despite fast technological advances, world-wide adaption of battery electric vehicles (BEVs) is still hampered—mainly by limited driving ranges and high charging times. Reducing the charging time down to 15 min, which is close to the refueling times of conventional vehicles, has been promoted as the solution to the range anxiety problem. However, s...
Conference Paper
High-precision map services are an indispensable basis of many innovative in-vehicle applications. Safety and comfort can be improved even further by inputting contextual information, such as road surface. Correct allocation requires lane-accurate vehicle localization. This paper presents a novel algorithm for lane-level map-matching that integrate...
Conference Paper
This paper analyzes the characteristics of single obstacles in regard to vehicle vertical dynamics and subjective human perception. The recent technical state of the art in collecting predictive route information is based on expensive camera- or laser-based systems. We propose a novel method for the effective evaluation of various single obstacles...
Article
Full-text available
A significant disadvantage of battery electric vehicles compared to vehicles with internal combustion engines is their sharply decreased driving range at low temperatures. Two factors are primarily responsible for this decreased range. On the one hand, the energy demand of cabin heating needs to be supplied by the vehicle’s battery since less waste...
Article
With the rising demand for electric vehicles with a fast-charging ability, high currents are applied to lithium-ion batteries to develop accurate battery models and intelligent fast-charging strategies. In order to achieve reliable results for automotive applications, single cell test conditions should be as close as possible to the conditions pres...
Article
Full-text available
Vehicle doors have barely changed in recent decades, and nor has the car. Since autonomous driving will lead to changes in vehicles and how they are used, their doors will also have to be rethought. In the project UNICARagil, researchers from several universities in Germany design and build four prototypes of driverless and autonomous vehicles, whi...
Article
Full-text available
Vehicle concept development is a domain that has applied and detailed its process over decades. The megatrends of the 21st century of “automation” and “sharing” influence the vehicle concept in such a manner that this well-running process needs an update. The vehicle itself and the customer of the vehicle are changing and therefore the components o...
Article
Full-text available
Autonomous driving will not just change vehicles themselves, but also the entire concept of mobility. New business models and the expansion of individual mobility to new groups of society are merely examples of possible impact. In order to create optimal vehicles for new technologies right from the start, vehicle concept optimization helps to find...
Article
Full-text available
The modeling of battery electric vehicles (BEVs) still represents a challenge for vehicle manufacturers. The installation of the new types of components needed for BEVs gives rise to uncertainties in the quantification of parameters like the vehicle's weight. Indeed, vehicle weight plays a key role, since it has a drastic effect on the vehicle's ra...
Article
Despite the Paris Climate Agreement and other international pledges to reduce anthropogenic carbon-dioxide emissions, road transportation emissions are increasing. Therefore, the European Union has introduced fines for exceeding CO2-limits beginning in 2025, forcing European truck manufacturers to replace diesel-powered vehicles with low-emission v...
Article
Full-text available
Although battery electric vehicles (BEVs) are locally emission-free and assist automakers in reducing their carbon footprint, two major disadvantages are their shorter range and higher production costs compared to combustion engines. These drawbacks are primarily due to the battery, which is generally the heaviest and most expensive component of a...
Chapter
Strategic production configuration in developing economies requires verified knowledge of the production system and its environment. In order to model these reproducibly, we use a fuzzy logic based model in this paper. This allows for simulation of dependencies within strategic production configuration. The results are transparent and reproducible...
Data
The parameters of all investigated cells are provided as supplementary material for the corresponding publication "Quantifiability of inherent cell-to-cell variations of commercial lithium-ion batteries " (https://doi.org/10.1016/j.etran.2021.100129). When using this data, please cite the dataset (10.13140/RG.2.2.31720.60160) and the corresponding...
Article
Parameter variations of lithium-ion batteries are an important concern because they can reduce the performance of a battery pack. To quantify inherent variations due to production tolerances, battery parameters of a batch of individual cells are experimentally determined and the latest studies show capacity variations of 0.2 %–0.3 % and impedance v...
Preprint
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems cannot be tailored to a narrow field of specific tasks but must handle an ever-changing environment...
Article
Full-text available
Roof-mounted photovoltaic systems play a critical role in the global transition to renewable energy generation. An analysis of roof photovoltaic potential is an important tool for supporting decision-making and for accelerating new installations. State of the art uses 3D data to conduct potential analyses with high spatial resolution, limiting the...
Article
Full-text available
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems cannot be tailored to a narrow field of specific tasks but must handle an ever-changing environment...
Presentation
Full-text available
Autonomous Driving Software Engineering - Lecture 05: Prediction
Presentation
Full-text available
Autonomous Driving Software Engineering - 01: Introduction to Autonomous Driving
Presentation
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Autonomous Driving Software Engineering - Lecture 03: Perception II - SLAM
Presentation
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Autonomous Driving Software Engineering - Lecture 02: Perception I - Basics of Mapping and Localization
Presentation
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Autonomous Driving Software Engineering - Lecture 04: Perception III - Detection
Presentation
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Autonomous Driving Software Engineering - Lecture 07: Planning II - Local Planning
Presentation
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Autonomous Driving Software Engineering - Lecture 08: Control
Presentation
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Autonomous Driving Software Engineering - Lecture 09: Safety Assessment
Presentation
Full-text available
Autonomous Driving Software Engineering - Lecture 10: Teleoperated Driving
Presentation
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Autonomous Driving Software Engineering - Lecture 11: End-to-End & Combined Modules