Automotive technology

Beginning of the research project between AKKA and the Institute for Automotive Technology of the Technical University of Munich

Munich, Germany – (COMMERCIAL THREAD) – Regulatory news:

AKKA Technologies (Paris: AKA) (BSE: AKA) (ISIN: FR0004180537), European leader in engineering consulting and R&D services in the mobility sector, is pleased to announce the launch of the Charge research project. COM on the development of diagnostic charging methods for commercial electric vehicles in collaboration with the Institute for Automotive Technology of the Technical University of Munich (TUM).

Innovative nature of the project

The consortium is intended to answer the question of how the battery condition of electric vehicles can be determined during the charging process. Lithium-ion battery systems are subject to complex aging mechanisms during the operation of electric vehicles. With a longer operating time, this can lead to a decrease in the amount of energy available and therefore a reduction in the electric range of the vehicle. At the same time, varying load and environmental conditions in different vehicles lead to different aging behavior within a fleet. In particular, commercial fleet operators face challenges, as route selection is usually not done by the driver, but through a checkpoint (disposition). This means that it is not always possible for the vehicle to meet the range requirements of an assigned route, such as a long distance in logistics or a public transport operation. Additionally, fleets typically consist of vehicles from different manufacturers that do not provide a uniform data interface to transmit battery status.

Research project

The research project addresses the need for vehicle-independent battery diagnostics to provide fleet operators with vehicle-specific, cloud-based information on battery status for vehicle dispatch. Over a period of three years, the project partners will work on the development of diagnostic algorithms for the charging phases of electric vehicles in order to accurately determine the state of the battery through extensive charging communication protocols.

In this regard, a unique test field will be set up, which will allow testing of algorithms in hardware-in-the-loop (HIL) testing near the application by simulating various battery systems and health states. The data collected on the current state of the vehicle will create the basis for the application of predictive analysis methods, i.e. prediction models from which action recommendations can be derived for optimal use. commercial vehicles.

“The topics of predictive analytics and billing communication standards are an important part of the development of a new mobility ecosystem. The Charge.COM project contributes to the digitization of the charging infrastructure and the planning of the use of electric vehicles by developing charging diagnostic processes using artificial intelligence and cloud connectivity. We look forward to a good and constructive collaboration with TUM “, says Felix Jakob, director of AKKA Research Germany.

Given the growing diversity of the range and models of different electric vehicles, it is very important, especially for operators of heterogeneous vehicle fleets, to be able to compare the condition of vehicles between manufacturers. Thanks to the development of an AI-based diagnostic recharging method, the Charge.COM project makes it possible to assess, independently of the vehicle, the state of the battery, as the most expensive component of an electric vehicle, and make use of more efficient electric vehicles. We are pleased to have AKKA Research as a competent partner in the area of ​​charging infrastructure and look forward to an exciting and productive collaboration.. ” say Prof. Dr.-Ing. Markus Lienkamp, ​​President of the FTM (TUM), and Thomas Kröger, PhD student at the FTM (TUM).

The research project is funded under the Bavarian Collaborative Research Program (BayVP) under the Digitization – Information and Communication Technologies AI-Big Data funding line according to the Bavaria Digital strategy and agenda High-tech Bavaria.

ABOUT AKKA

AKKA is a European leader in engineering consulting and R&D services. Our comprehensive portfolio of digital solutions, combined with our engineering expertise, uniquely positions us to support our customers by leveraging the power of connected data to accelerate innovation and drive the future of smart industry. AKKA supports the main industry players in a wide range of sectors throughout the lifecycle of their products with cutting-edge digital technologies (IA, ADAS, IoT, Big Data, robotics, embedded computing, machine learning, etc. .) to help them rethink their products. and business processes. Founded in 1984, AKKA has a strong entrepreneurial culture and a large global footprint. Our 20,000 employees around the world are all passionate about technology and share AKKA’s values ​​of respect, courage and ambition. The Group achieved a turnover of 1.5 billion euros in 2020. AKKA Technologies (AKA) is listed on Euronext Paris and Brussels – segment B – ISIN code: FR0004180537.

For more information, please visit: https://www.akka-technologies.com/

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About the Technical University of Munich (TUM)

The Technical University of Munich is one of the top three universities of excellence in Germany and one of the best universities in Europe. Cutting-edge performance in research, education, as well as strong alliances with companies and scientific institutions around the world make it a distinguished institution. Under the direction of Prof. Dr.-Ing. Markus Lienkamp, ​​Institute of Automotive Technology (FTM) discusses today’s demands for mobility. In addition to automated driving, the 70 employees, including 50 scientists, focus mainly on electromobility and the intelligent networking of vehicles and charging infrastructure. Thanks to numerous research projects with renowned industrial partners, a vast expertise has already been developed in the development of simulation models as well as prototypes, thus increasing the efficiency, autonomy and lifespan of electric vehicles. The scientists’ research is supported by many students as well as an internal mechanical and electrical workshop, making it possible to validate the solutions developed on test benches or even in real vehicles in road traffic.

More information on https://www.mos.ed.tum.de/en/ftm/home/