De-Multiplexed Multiwavelength Light Interferometry
Many areas of science and technology rely on the precise determination of distance or depth. While numerous techniques have been employed for ranging, coherent interferometric schemes with infrared wavelengths have achieved the finest resolutions of a micrometer with a range of up to tens of centimeters. In this talk, a new technique is described which is based on coherent interferometry using multiple, de-multiplexed fixed wavelengths. This approach is capable of achieving a long range, on the order of meters, with nanometer scale resolution. This technique does not suffer from the traditional range-resolution trade off, has a low power requirement, and does not impose a large bandwidth requirement on the detectors.
Speaker: Vala Fathipour
Department of Electrical Engineering, UC Berkeley
Multi-stage Charging Station Planning of Electric Buses Considering Transportation Network and Power Grid
Since battery charging for electric buses takes several hours, buses can only go for charging after they finish the timetabled trips and come back to the bus depots. Bus depots become the origins of charging trips and charging stations become the destinations. Due to the high power of bus fast-charging piles and the aggregation of the equipments, bus charging stations are significant loads to the power grid. The stations’ location and sizing not only influence the routes of charging trips, but also the connection to power grid. It is necessary to consider both transportation network and power grid when planning the infrastructure. We have put forward a cost minimization model to determine the location and sizing of bus charging stations. The problem is formulated as a mixed-integer second order cone programming (MISOCP) model and can be solved very efficiently. Based on the above model, a multi-stage planning model has been developed to optimize the deployment for multiple stages by considering the influence of each stage’s planning result on other stages. Numerical experiments are conducted to demonstrate the effectiveness of the proposed models.
Speaker: Yuping Lin
Industrial Engineering and Operations Research Department, UC Berkeley
Yuping Lin is a Ph.D. candidate under the guidance of Prof. Max Shen and Prof. Lixin Miao in the Lab of Intelligent Transportation and Logistics System, TBSI. She received her B.S. degree (2012) in Mechanical Engineering from Xiamen University and M.S. degree (2015) in Management Science and Engineering from Tsinghua University. Her research interests include electric vehicle charging station planning and game theory.