Since 2015, Tesla has installed a total of over one gigawatt-hour of energy storage that is critical for using renewable energy at scale. Over 20,000 customers across 40 countries are using Tesla stationary storage products for a variety of sustainable energy applications: powering filtration systems for clean water in Puerto Rico, stabilizing the grid in Australia, cooling classrooms in Hawaii, and powering entire islands in the South Pacific, etc. This talk will introduce the general efforts of Tesla's Energy Optimization Team, which develops the "brain" of its energy storage products. Optimization and machine learning techniques are utilized on all different products. A few recent projects will also be presented.
Dr. Dai Wang is currently a Senior Engineer at Energy Optimization Team in Tesla. He is leading the development of optimization and control softwares on battery storages, which are broadly implemented on Commercial, industrial and Microgrid sites. Before joining Tesla, Dr. Wang was a Senior Scientific Engineering Associate in the Grid Integration Group at Lawrence Berkeley National Laboratory. He was a key member of multiple DOE/CEC projects on the development of simulation platforms for understanding how clean vehicles interact with electric power grids. He also worked on emerging topics in energy/transportation/environmental areas, including power system cyber security, autonomous vehicles, hydrogen production and transmission, etc. Dai received his Ph.D. and B.E. degrees in Electrical Engineering from Xi’an Jiaotong University.