The new Batteries Regulation will limit EU sales to sufficiently sustainable batteries. For this purpose, the regulation covers the entire battery life cycle, from the extraction of raw materials, to industrial production, to end-of-life disposal. The European Commission's Joint Research Centre supports the development of the related requirements or test procedures scientifically. In this presentation, requirements related to performance and safety will be presented and discussed from a technical perspective.

Due to the constant increase in energy density of lithium-ion batteries, safety concerns in case of a thermal runaway event become more critical. Thermal runaway propagation (TP) can destroy an entire LIB pack, rapidly releasing energy. A solution for TP that minimally affects the pack remains one of the main unsolved safety-related issues in battery systems. This presentation proposes an eco-friendly barrier that prevents thermal propagation between 50Ah LIB cells.

Reducing the testing time in laboratory settings for health checks during aging tests (lab cycling campaigns and manufacturing quality control tests) reduces cost (labor, data, equipment, test time). Cell expansion provides “aging wrinkles” that are distinctly identifiable and strongly correlate to degradation mechanisms under various stress factors such as temperature, charging rate, and depth of discharge. The second derivative of expansion versus charge exhibits a global correlation to degradation. It hence can be used to either tune degradation models or to extrapolate and predict remaining useful life (RUL).

State-of-the-art cell aging characterization typically takes around 1.5 years and requires at least 40 cells. The current approach is using Design-of-Experiments (DoE), applying one current profile per cell from Beginning-of-Life (BoL) until End-of-Life (EoL). The presented approach suggests pre-aging of cells and changing current profiles per cell with an advanced DoE approach to reduce the time needed by ~60% and the number of cells needed by ~30%, with the same result quality as the aging model.

In this talk, we will present a digital cell design approach, which does not start the cell design process from scratch, but from the physical model of an existing cell, where all electrochemical and geometrical properties are correctly digitally represented. From that point of very low model uncertainty but at the same time realistic level of complexity, cell design parameters can be systematically changed and their sensitivity on different cell performance indicators like capacity, peak power, or fast-charging capability can be studied.

The automotive BMS is perceived to be the best-in-class. This is due to the high volume, which enables the exploitation of the latest technology and commercial advantages. Yet, the diagnostic and prognostic capabilities implemented are limited. For electric aircraft, the fundamental premise of safety, plus the need to monitor, identify and isolate or mitigate battery failure is different. However, the tightly regulated aircraft usage case opens a few novel approaches to realise a comprehensive diagnostic and prognostic system. At WMG, in collaboration with aerospace OEMs, we are developing a battery functional safety diagnostic and prognostic system.

Conventional lithium-ion batteries fail to meet the needs of the automotive sector in key areas like range and charge time. Solid-state lithium-metal battery technology is designed to overcome these limitations with the potential to charge faster, last longer on a single charge, be safer, and have a longer useful life compared to conventional lithium-ion batteries. During this talk, QuantumScape Co-Founder and Chief Technology Officer, Tim Holme, will delve into the promise of the solid-state lithium-metal battery cell design. Specifically, Tim will show performance of the QuantumScape cell design at low pressure and high discharge rate

Battery systems are complex systems with the battery cell as the core technology of the system but then integrated with multiple subsystems, including mechanical, thermal, and battery management systems (BMS). This presentation will look into the different subsystems that contribute to the overall battery system performance and opportunities for improvement in next-generation battery systems. Battery system trends in the industry will be evaluated and discussed.

A novel parametrisation testing technique is presented. It's then parametrised using this testing technique and compared to a model parametrised using current common testing techniques. This comparison is conducted using a WLTP (worldwide harmonised light vehicle test procedure) drive cycle. As part of the validation, the experiments were conducted at different temperatures and repeated using two different temperature control methods: a climate chamber and a Peltier element temperature control method.

SVOLT is driving the future growth of automotive batteries through innovation, a robust supply chain, technology-enabled, and scale-up production. SVOLT likes to share views on the integration of digital technologies to improve battery design.

Professor Gregory Offer will present the research his group have done over the past ten years in understanding lithium-ion battery degradation, how to model it, and how close those models are getting to usefully predict lifetime. Greg will describe their efforts to model lithium plating, SEI layer growth, positive electrode (cathode) decomposition, unequal degradation in silicon carbon composite electrodes, particle cracking, electrolyte consumption and cell dry-out, and how multiple degradation mechanisms are coupled with each other and contribute towards accelerated degradation (the knee point/cliff-edge/etc).

How can the time-to-market of new batteries and electrical vehicles be shortened? Testing hundreds or thousands of batteries and cells simultaneously in a multi-vendor lab is a huge time-consuming challenge. Efficient processes and an open toolchain for automated scheduling, monitoring, energy management, and data analytics are the key to success. In addition, virtual testing can cut development time and cost, e.g. with model-based cell aging prediction or AI-based battery fleet data modelling. This presentation explains AVL's approach on how to optimize battery development and testing with a comprehensive methodology, supported by a dedicated software solution open for any test equipment vendor.

With the increasing incidence of fire and catastrophic failure of electric vehicles, the necessity of an advanced battery management system and safety framework became crucial. The talk will focus on the importance of intelligent state estimation and control in lithium-ion battery management systems for transportation electrification applications. The current issues and challenges will be also discussed to highlight the scope of future research and development.

The topic of wireless communication within battery management systems has gained traction in recent years. Several battery and vehicle makers have announced the successful implementation of wireless communication within their battery packs. This talk covers the requirements, technology, benefits, and challenges of wireless communication systems within battery packs.