报告时间：2024年12月18日 19:00-20:00

报告题目：Stochastic Models and Algorithms for Battery Swapping EV Infrastructure Networks Design

报告方式：#腾讯会议：231-673-391

内容简介：Developing new energy vehicles (EVs) is an essential path for China to transition from a major automobile power to an automobile strong power, and it is also a strategic measure to address climate change and promote green development. EVs with battery swapping models have advantages such as short energy replenishment times and high battery charging safety, offering broad application prospects. However, due to the imbalance and volatility between transportation demand and urban grid supply capacity, the current single-station “distributed charging, distributed battery swapping” operational model faces significant challenges. This talk introduces the “centralized charging, distributed battery swapping” electric service network operation model, presents a queuing theory analysis method based on general batch arrivals, general random service times, and sufficient service stations, and designs exact algorithms for non-linear mixed integer programming models based on sub-modularity and parameter search.

专家简介：张玉利，北京理工大学管理学院教授、博士生导师，入选国家级人才项目。研究方向为运筹优化、供应链管理等。担任中国运筹学会数据科学与运筹智能分会(筹)副秘书长、北京运筹学会副秘书长、管理科学与工程学会理事、中国物流与采购联合会采购与供应链专委会委员等学术兼职。主持国家自然科学基金优秀青年科学基金、面上项目等多项科研项目。在MS、POM、IJOC等期刊发表论文。曾获宝供物流奖、INFORMS TSL、INFORMS Service Science、华人学者管理科学与工程年会等最佳论文奖、华为供应链运筹管理合作创新奖等荣誉，美国大学生数学建模竞赛COMAP奖、INFORMS奖和特等奖指导教师。