With the world facing the challenge of climate change and greenhouse gas emissions reduction, it is important to have scalable and sustainable energy storage solutions for both stationary and portable applications to unleash the full potential of renewable energy sources and help the world transition to cleaner energy . Facilitating this transformation would require the implementation of advanced battery storage systems 2 , making the discovery of new battery materials, as well as improving the existing ones even more critical than ever. The deployment of robotics and automation will enhance the efficiency and efficacy of battery research while mitigating human error to meet the demands for high-performing energy storage materials. High-throughput experimentation allows the autonomous characterization of large numbers of samples in a relatively short time, which can speed up the discovery process and expand the scope of research . HTE techniques can apply to materials synthesis , crystal structure and chemical composition characterization , or cell assembly and cycling . Among the various HTE techniques for electrochemical characterization, scanning droplet cell and scanning electrochemical cell microscopy (SECCM) have a high potential for application in battery research. The major difference is that SDC can be used for materials investigation on a millimeter-scale, whereas SECCM is used on a micrometer-scale. The scale variation makes SDC a more versatile technique, allowing the elimination of particle orientation effects and providing information on average material properties, which is more relevant and closer to applied battery research.