Acceleration Velocity Trajectory Optimization of Intelligent EVs Using Battery Life Model⁎. Issue 31 (2018)

• Record Type: Journal Article
• Authors: Chu, Hong; Zheng, Qing; Guo, Lulu; Gao, Bingzhao
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 31(2018)
• Page Start: 285
• Page End: 289
• Publication Date: 2018
• Subjects: Intelligent EVs -- lithium-ion battery -- control-oriented life model -- velocity trajectory optimization; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.10.051
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, taking an intelligent electric vehicle as the research object, mathematical models are firstly built for calculating the percentage of lithium-ion battery capacity loss and the internal resistance increase. Based on the model established, a control-oriented battery life model is derived using to calculate the battery capacity loss during an acceleration process. Then, a velocity trajectory optimization framework is presented to minimize the battery aging life for intelligent EVs during an acceleration process and the problem is solved by SQP algorithm. Finally, according to the simulation results, it can be concluded that the energy consumption per meter is 5.50kJ/m from 0 to 100km/h within 10s. The effect on battery capacity is much greater than that on battery internal resistance during the acceleration process.