- Browse by Author
Browsing by Author "Xiong, Jing"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Failure Detection for Over-Discharged Li-Ion Batteries(Office of the Vice Chancellor for Research, 2012-04-13) Xiong, Jing; Banvait, Harpreetsingh; Li, Lingxi; Chen, Yaobin; Xie, Jian; Liu, Yadong; Wu, Meng; Chen, JieLi-ion batteries are high density, slow loss of charge when not in use and no memory effect. Vast research on Li-ion batteries has been focusing on increasing the energy density, durability, and cost. Due to its advantages it has been widely used in consumer electronics and electric vehicles. Apart from its advantages, safety is a major concern for Li-ion batteries. The Li-ion safety issues have been widely publicized due to devastating incidents with laptop and cell phone batteries. Despite of much research towards the safety of Li-ion battery, it remains as a major concern related to Li-Ion batteries. A failure of Li-ion battery may result in thermal runaway. Li-ion battery failure may be due to overcharge, over-discharge, short circuits, particles poisoning, mechanical or thermal damage [1, 2]. Short circuit, overcharge, and over-discharge are the most common electrical abuses a battery suffers. This poster presents preliminary results for the failure signatures of over-discharged Li-ion batteries, and proposes a rule-based method and a probabilistic method for failure detection. The two methods Rule-based method and Probabilistic method are verified using experimental results for a Li-ion battery. The proposed methods were successfully implemented in a real-time system for failure detection and early warning.Item Webots-based Simulator for Biped Navigation in Human-living Environments(IEEE, 2015-12) Xia, Zeyang; Wang, Xiaojun; Gan, Yangzhou; Cox, Thomas-Glyn Hunter; Zhang, Xue; Li, Huang; Xiong, Jing; Department of Biomedical Engineering, School of Engineering and TechnologyNavigation is one of the key issues of biped robot, especially in complicated and uncertain human-living environment. There have been challenges for ensuring the stability, efficiency and security of the biped navigation system. In this paper, a framework utilizing sampling-based footstep planner is proposed for the simulation of the biped navigation. Sensor fusion method is adopted to process and generate the correlated environment information for footstep planning. Two specific experiments have been conducted to validate the functionality and performance of the proposed framework.