Batteries are not yet the ideal energy container they were promised to be. They are expensive, fragile and potentially dangerous. Moreover the current EV cannot compete yet with traditional vehicles when it comes to driving range and flexibility. EVERLASTING intends to bring Li-ion batteries closer to this ideal by focusing on the following technology areas. • Predicting the behavior of battery systems in all circumstances and over their full lifetime. This enables accurate dimensioning and choice of the correct battery type, leading to lower cost. It also facilitates the development of a powerful battery management system during all stages of its evolution from idea to fully tested product. • Sensing signals beyond the standard parameters of current, voltage and temperature. This multi-sensing approach provides more varied and in-depth data on the status of the battery facilitating a pro-active and effective management of the batteries, preventing issues rather than mitigating them. • Monitoring the status of the battery by interpreting the rich sensor data. By intelligently combining this information with road, vehicle and driver data we intend to offer accurate higher-level driver feedback. This induces a bigger trust and hence a lower range anxiety. • Managing the battery in a proactive way, based on a correct assessment of its status. Efficient thermal management and load management results in increased reliability and safety and leads to lower overall cost through an increased lifetime. • Defining a standard BMS architecture and interfaces and gathering the necessary support in the market. This allows an industry of standard BMS components to flourish which will result in lower cost.

To face the climate change, tens of millions of electrified vehicles need to be deployed in the next decade. To meet this challenge, the automotive industry must shift mass production from thermal to electrified vehicles. The challenge is further complicated by electrified vehicles having more components and architectures than thermal vehicles. Realizing this paradigm shift is only possible if there are innovative methods to significantly reduce their development and testing time. The main goal of PANDA is to provide a unified organisation of digital models to seamlessly integrate virtual and real testing of all types of electrified vehicles and their components. The complexity of developing electrified vehicles becomes manageable by delivering a modular simulation framework. Development partners can share models (in open or in black-box form), avoiding sensitive IP issues and greatly increasing the development flexibility. The proposed method will enable 1) an easy reuse of models for different development tasks, 2) a replacement of real tests by virtual tests and 3) real-time testing on vehicle level. This method will be integrated in a multi-power open platform based on existing industrial software, enabling Stand-Alone or Cloud Computing. The method will be validated using two existing vehicles (a BEV and a FCV). Also, real and virtual tests of the integrated electrical subsystems of an innovative P-HEV will be performed. PANDA will reduce the time-to-market of electrified vehicles by 20%, by harmonizing the interaction between the models. In addition, the seamless integration will give developers access to other subsystem models, which will decrease the correlation efforts on components by 20%. The open platform will 1) make it easier for OEMs, suppliers, SMEs and research institutions to interact and 2) enable a fair competition. These innovations will make the European market more flexible, more open to innovation and ultimately more competitive.