Extensive calculations are then carried out to determine the battery pack's energy, capacity, weight, and size. The design involves grouping cells into modules for easier management and protection, while also incorporating cell holders to enhance stability and minimize vibrations.
We consider several design parameters such as thickness and fiber directions in each lamina, volume fraction of fibers in the active materials, and number of microvascular composite panels required for thermal regulation of battery pack as design variables.
Literature findings are used to validate the overall optimized cost distributions. Generally, very few analyses of total costs or weight shares at the component level for entire battery systems are described in the literature. One bigger compilation is given by Lutsey et al. in .
Data-driven battery design reinforces overarching technological improvements through multiscale investigations of fundamental material properties and phenomena. This encompasses computational simulations, machine learning, and economics.
The thickness of constituents in the battery cell, carbon fiber volume fraction of the electrodes, number of microvascular composite panels for thermal regulations, and fiber directions in the battery cell plies are considered as design parameters.
Conclusion In this study, a new battery packaging system is proposed for electric vehicles (EV) to resolve one of the major hindering factors in the development of EVs: “low specific energy”. This battery packaging includes two types of multifunctional composites: structural battery composites (SBC) and microvascular composites (MVC).