Safety tests by means of Accelerating Rate Calorimetry (ARC) have been conducted on cylindrical type 21700 cells with NCA chemistry. The temperature and temperature rate where thermal runaway is stoppable was found, as well as when the chain reaction can't be stopped anymore. Two modified Heat-Wait-Seek (HWS) experiments have been conducted, one with forced convection cooling of the cell by pressured air and the other with natural convection cooling.

An NMC 811 21700 cell module is subjected to immersion cooling during fast charging and nail penetration testing. The results are compared to baseline without immersion cooling and benefits and shortcomings are analyzed.

Thermal runaway can be enabled when the heat dissipated from internal short circuit (ISC) leads to a failure of separator. In prismatic cells, a crucial type of ISC is located between the cell can on cathode potential and the outermost anode layer. In this study, we investigate this critical short circuit introduced by needle penetration and assess the influence of safety device on thermal runaway.

Micro-USB Li-ion batteries (LIBs) are the latest devices in the market where lithium-ion batteries come fitted with a micro-USB port for direct charging through any USB power supply. The micro-USB batteries are fitted with a circuit board that is expected to not only provide the charge protocol but also expected to be independently fault-tolerant to all electrical off-nominal conditions. The nominal and off-nominal characteristics of micro-USB batteries from six manufacturers were studied. The results of these studies will be presented.

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 Battery Management System (BMS) has the crucial task of keeping a high-voltage battery pack safe. BMS relies on measured data from battery packs at different levels through different sensors. Capturing relevant data with proper interpretation is crucial for correct diagnosis. In this presentation, we will discuss the unreliability issues of battery safety and its diagnosis for different emerging sensors. We will present a diagnostic evaluation tool for uniformly testing and validating the battery safety-specific sensors, which could accelerate their implementation in advanced BMS.

Different methods are compared that can be used to determine the state of charge of batteries during operation, during charging and to decide about the suitability for second life usage. The methods include different measurement and modelling techniques. They are applied during ageing tests on 18650 cells and evaluated concerning their applicability for different purposes.

Range anxiety is a key reason that consumers are reluctant to embrace electric vehicles (EVs). However, none of today’s EVs allow fast charging in cold or even cool temperatures due to the risk of lithium plating, the formation of metallic lithium that drastically reduces battery life and even results in safety hazards. Here, we present an approach that enables 15-minute fast charging of Li-ion batteries at any temperature (-50 °C).

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.

In this perspective, taking lithium-ion batteries (LIBs) for example, we briefly concluded and summarized PHM predictive modeling and prognostications of the remaining useful life, anomalies, and failure detection in LIBs. One new PHM, data-driven prognosis (DDP), was briefly introduced and applied to LIBs’ failure detection. ​Best,

Physics-based battery-cell models used by advanced BMS depend on knowledge of the electrodes’ OCP relationships as functions of stoichiometry. The utility of these relationships depends on how accurately they correspond to the true local absolute stoichiometry. This talk proposes a nondestructive lab test and corresponding data-processing method that can calibrate an initial relative OCP-function estimate to produce an absolute OCP-function estimate that increases the accuracy of the cell model.

State-of-the-art BMS rely on highly accurate battery models and powerful algorithms to obtain useful estimates of available power for safe battery operation. This talk presents – in tutorial fashion – an overview of state-of-power (SOP) estimation for lithium-ion batteries. Depicted graphically in the context of the voltage-current product, the talk explains the various definitions of SOP and the variety of model-algorithm approaches used in its calculation. Examples are demonstrated via simulation.