Analysis of Lead-Acid batteries with a third-order dynamical model

Electrical energy storage is a really important issue nowadays. As electricity is not easy to be directly stored, it can be stored in other forms and converted back to electricity when needed. As a consequence, storage technologies for electricity can be classified by the form of storage, and in particular we focus on electrochemical energy storage systems, better known as electrochemical batteries. Largely the more widespread batteries are the Lead-Acid ones, in the two main types known as flooded and valve-regulated. Batteries need to be present in many important applications such as in renewable energy systems and in motor vehicles. Consequently, in order to simulate these complex electrical systems, reliable battery models are needed. Although there exist some models developed by experts of chemistry, they are too complex and not expressed in terms of electrical networks. Thus, they are not convenient for a practical use by electrical engineers, who need to interface these models with other electrical systems models, usually described by means of electrical circuits. There are many techniques available in literature by which a battery can be modeled. Starting from the Thevenin based electrical model, it can be adapted to be more reliable for Lead-Acid battery type, with the addition of a parasitic reaction branch and a parallel network. The third-order formulation of this model can be chosen, being a trustworthy general-purpose model, characterized by a good ratio between accuracy and complexity. Considering the equivalent circuit network, all the useful equations describing the battery model are discussed, and then implemented one by one in Matlab/Simulink. The model has been finally validated, and then used to simulate the battery behaviour in different typical conditions.

Graphite for lithium-ion batteries: mineral analysis and global Material Flow Analysis

Graphite is a mineral commodity used as anode for lithium-ion batteries (LIBs), and its global demand is doomed to increase significantly in the future due to the forecasted global market demand of electric vehicles. Currently, the graphite used to produce LIBs is a mix of synthetic and natural graphite. The first one is produced by the crystallization of petroleum by-products and the second comes from mining, which causes threats related to pollution, social acceptance, and health. This MSc work has the objective of determining compositional and textural characteristics of natural, synthetic, and recycled graphite by using SEM-EDS, XRF, XRD, and TEM analytical techniques and couple these data with dynamic Material Flow Analysis (MFA) models, which have the objective of predicting the future global use of graphite in order to test the hypothesis that natural graphite will no longer be used in the LIB market globally. The mineral analyses reveal that the synthetic graphite samples contain less impurities than the natural graphite, which has a rolled internal structure similar to the recycled one. However, recycled graphite shows fractures and discontinuities of the graphene layers caused by the recycling process, but its rolled internal structure can help the Li-ions’ migration through the fractures. Three dynamic MFA studies have been conducted to test distinct scenarios that include graphite recycling in the period 2022-2050 and it emerges that - irrespective of any considered scenario - there will be an increase of synthetic graphite demand, caused by the limited stocks of battery scrap available. Hence, I conclude that both natural and recycled graphite is doomed to be used in the LIB market in the future, at least until the year 2050 when the stock of recycled graphite production will be enough to supersede natural graphite. In addition, some new improvement in the dismantling and recycling processes are necessary to improve the quality of recycled graphite.

Optimization of aqueous Zn-ion batteries

MnHCF was synthesized by simple co-precipitation method. In this work we investigate the electrochemical behavior of manganese hexacyanoferrate in zinc sulfate (ZnSO4), ZnSO4+MnSO4 and zinc triflate (Zn(OTF)2) aqueous electrolytes. Electrochemical tests were performed by both El-cell which is designed for reflection investigation and coin cell. In cyclic voltammetry curves, we observed redox peaks of both Fe3+/2+ and Mn3+/2+ pairs. The results based on current shows that the capacity of battery is controlled by diffusion process in aqueous electrolyte system. MnHCF undergoes severe dissolution and zinc displacement during cycling. Compared to ZnSO4, anions of Zn (OTF)2 electrolyte are strongly adsorbed on the electrolyte surface, in turn hindering the water oxidation reaction and reducing the decomposition of MnHCF. The MnHCF/Zn battery using 3M Zn (OTF)2 delivers a specific capacity of 41 mAhg-1 at 50 mAg-1 while by using 3M ZnSO4+1M MnSO4 the specific capacity reaches to 400 mAhg-1 for the pure sample and around 250 mAhg-1 for the MnHCF+A. Our results suggest that the anions in the aqueous electrolyte are of great importance to optimize the electrochemical performance of metal hexacyanoferrates. The pre-addition of MnSO4 into ZnSO4 solution is capable of easing the Mn2+ dissolution from the cathode.