电测与仪表2025，Vol.62Issue(11)：182-191,10.DOI:10.19753/j.issn1001-1390.2025.11.021
基于电池老化感知的车联网能量管理系统研究
Research on the energy management system of internet of vehicle-to-everything based on battery aging perception
摘要
Abstract
Electric vehicles,as distributed energy storage resources,have broad prospects for participating in vehi-cle-to-everything(V2X)interactions.However,they encounter the problem of low user participation in practical applications.The key influencing factors are battery aging and range anxiety.In order to improve the enthusiasm of vehicle owners to participate in V2X technology,a multi-scenario V2X energy management system is designed based on battery aging perception capacity quantification.The battery health status is quantified as the"lifetime driving cycles",and a multi-layer perceptron neural network is used to achieve a fast linearized expression.At the same time,in order to simulate the psychological expectation of users experiencing endowment effects and having a premium in battery resource valuation,this paper establishes a cyber-physical-social system(CPSS)and enhances the response data based on conditional generative adversarial network(CGAN)through the artificial electric vehicle group in the virtual system to obtain the incentive strategy of the energy management system,ultimately achieving a win-win situation for both the user side and the grid side.Finally,a series of case studies show that the proposed scheme can effectively evaluate the impact of V2X interactions on battery life,alleviate range anxiety of users,and provide a reference for vehicle owners to participate in V2X interactions.关键词
能量管理/电池老化/多层感知器/神经网络Key words
energy management/battery aging/multilayer perceptron/neural network分类
动力与电气工程引用本文复制引用
侯聪玲,杨俊华,严心然,曾君..基于电池老化感知的车联网能量管理系统研究[J].电测与仪表,2025,62(11):182-191,10.基金项目
国家自然科学基金资助项目(62173148) （62173148）
广东省自然科学基金资助项目(2023A1515010184) （2023A1515010184）
