16 - 19 September, 2019
NH Collection Frankfurt City, Berlin, Germany

Agenda Day 2

8:30 am - 9:00 am Registration and welcome coffee

9:00 am - 9:10 am Opening remarks by conference chairman

Bo Johansson, Director Strategy & Special Projects at Volvo Group, Sweden

Bo Johansson

Director Strategy & Special Projects
Volvo Group, Sweden

In order to have an efficient BMS, there is the need to ensure that the we can optimize the functionality of the battery. This interactive panel discussion will focus on two main important topics:

1 | The role of (new) control algorithms and the benefits from methodology to extend lifetime

After the first discussion the panel will focus on:

2 | BMS for autonomous driving: What are the challenges and opportunities


Bo Johansson, Director Strategy & Special Projects at Volvo Group, Sweden

Bo Johansson

Director Strategy & Special Projects
Volvo Group, Sweden

Faisal Altaf, Principal Research Engineer & Project Manager AE and Research—ESS Control & SW at Volvo Group Trucks Technology

Faisal Altaf

Principal Research Engineer & Project Manager AE and Research—ESS Control & SW
Volvo Group Trucks Technology

Hans Harjung, CEO & Founder at e-moove GmbH

Hans Harjung

CEO & Founder
e-moove GmbH

9:50 am - 10:30 am Design BMS software architecture for performance, safety, modifiability, testability

Software architecture directly affects quality, cost, development schedule, which is required to cover both functional requirements and quality attributes. However, handling quality attributes makes difference in architecture
• Identifying fragile BMS SW components against system requirement changes or project variation.
• Meeting safety requirements in architecture with consideration of performance
• Design consideration in Dual core architecture

Junghwan Lee, Principle engineer BMS at SVOLT

Junghwan Lee

Principle engineer BMS
SVOLT

10:30 am - 11:00 am Refreshment break and networking

11:00 am - 11:40 am A review of state of health estimation methods of batteries in electric buses to adapt in BMS

The main issues of battery management system in automotive applications, especially for electric buses are safety and lifetime. According to this plenty of state of health estimating methods are developed nowadays. However the key issue is to find method which will ensure accuracy and computational complexity will be not too large to adapt in BMS. The review from an electric buses producer will be presented:
• Classification of SOH estimation methods: experimental techniques and adaptive models
• Indicating the battery parameters which affect on battery degradation
• Review of SOH estimation methods for batteries in electric buses
• How to describe ageing mechanisms using mathematical equations?
Agnieszka Domeracka, Junior Design Engineer, Research and Development Department at Solaris Bus & Coach

Agnieszka Domeracka

Junior Design Engineer, Research and Development Department
Solaris Bus & Coach

11:40 am - 12:20 pm Adaptive battery control

• How to make algorithms cope with changes in operating conditions and battery health
while maximizing performance
• Use of traditional equivalent circuit modelling
• Base our algorithms on limitations on internal physical variables instead of terminal voltage
and external temperature

Torsten Wik, Professor, Electrical engineering at Chalmers University of Technology

Torsten Wik

Professor, Electrical engineering
Chalmers University of Technology

12:20 pm - 1:00 pm Li-ion battery / Supercapacitor energy storage system

The massive diffusion of electric vehicles can only be achieved if the energy performance and driving comfort remain equivalent to traditional combustion vehicles. Nowadays, Li-ion battery single sources used in the automotive sector are too limited compared to the energy density of fossil fuels. One of the ideas to overcome this problem is to use a Li-ion battery / Supercapacitor hybrid energy storage system.

Théophile Paul, R&D electrical engineer - PhD student at ICube Laboratory INSA

Théophile Paul

R&D electrical engineer - PhD student
ICube Laboratory INSA

1:00 pm - 2:00 pm Networking Luncheon

2:00 pm - 2:30 pm The Influence of Degradation Path Dependency on State of Health Models for Lithium Ion Batteries in Electric Vehicles

Battery ageing for EVs where reliability of the vehicle is dependent on battery performance, capacity and lifetime- Understanding path dependency and the importance of incorporating path dependency in EV lifetime/performance models- Data collected from experiemental campaign to prove the impact of path dependent degradation on cell performance

Trishna Raj, PhD candidate at University of Oxford

Trishna Raj

PhD candidate
University of Oxford

2:30 pm - 3:10 pm Data-based fault detection – Detachment of a parallel-connected cell

In order to meet the power and energy requirements of large-scale applications such as electric vehicles, lithium-ion cells are usually connected in parallel. This connection enables a closed circuit even if one or more cells within the parallel configuration are disconnected. This type of connection fault can lead to electrical and thermal overload of the remaining former parallel-connected cells. A data-based algorithm is shown which detects and localizes this connection error via voltage measurements. The algorithm is validated by measurements on a module of three serial-connected cells, each consisting of two parallel-connected 50 Ah pouch cells. Under typical driving loads an interruption is detected in less than 20 seconds.

Alexander Fill, Ph.D. Student, Research and Development at Daimler AG

Alexander Fill

Ph.D. Student, Research and Development
Daimler AG

3:10 pm - 3:50 pm Importance of Energy storage systems

• Current requirements and expectations
• How to overcome the challenges
• Future roadmap in the automotive world

Carlos Silva, Software Developer at Daimler AG

Carlos Silva

Software Developer
Daimler AG

3:50 pm - 4:20 pm Refreshment break, networking and end of the conference

4:20 pm - 5:20 pm Round table session | Mix and Discuss EV High Power Charging and Battery

Management Systems and What are the requirements for future Battery Management Systems?

In these closing twin-sessions, we invite delegates to mix & discuss by choosing 2 out of 6 deep dive topics, and elaborate each with experts from the two conferences. For each topic you chose, you have 30 minutes to discuss it in your group. The results will be presented at the end.

16:20 Session I • 16:50 Break for Switching • 16:55 Session II

TABLE A | Defining battery ageing model adapted to vehicle real usage
Philippe Gyan, Battery Innovations Research Engineer, Renault

TABLE B | Energy storages systems in EV/HEVs Energy storage systems and their current status
and challenges
Théophile Paul, R&D electrical engineer - PhD student, ICube Laboratory INSA

TABLE C | Design DCU (Domain Control Unit) with BMS
• Which functions to swift from BCU to DCU / cloud? (f.e. advanced SOH calc., more calc. resources available: DCU)
• Which functions will remain to BCU and why (f.e. safety functions, relays driving, isolation measurement, HW interfacing
Chrysanthos Tzivanopoulos, Senior engineer of the Battery Management System Hardware
Development for Lithium Ion Batteries, Robert Bosch GmbH

TABLE D | Battery cell solutions to enable high power charging Electrolytes, electrodes and internal resistance – solutions to overcome the limits
Dr. Stefan Permien, CEO, UniverCell Holding GmbH

TABLE E – Vehicle to vehicle charging – what are the possible configurations? Direct DC to DC, or through a station?
Rob Jerger, Technical Specialist - Charge Control Systems, Jaguar LandRover

5:20 pm - 5:30 pm Presentation of results to the audience

5:30 pm - 5:40 pm Closing remarks by the Chairmen of both conferences