关联用户的电驱动总成效率评价方法研究
Research on the efficiency evaluation method of electric drive assembly related to users
邹喜红 1肖谕凯 2苏航 3洪浩 3杨玺 3周雨航2
作者信息
- 1. 重庆理工大学 汽车零部件先进制造技术教育部重点实验室, 重庆 400054;重庆清研理工汽车检测服务有限公司, 重庆 400000
- 2. 重庆理工大学 汽车零部件先进制造技术教育部重点实验室, 重庆 400054
- 3. 重庆青山工业有限责任公司, 重庆 402761
- 折叠
摘要
为实现电驱动总成效率评价与用户端的关联,提出了基于用户实际行驶工况的效率评价方法.以采集的某型纯电动汽车用户工况数据为基础,基于核密度估计和马尔科夫链蒙特卡洛采样方法,预测了用户目标里程下的转矩-转速工况点分布.提出了以台架效率数据为驱动建立效率预测模型的方法,基于遗传算法优化的BP神经网络(GA-BP)建立了效率预测模型.结合用户目标里程下的转矩-转速工况点分布和效率预测模型,提出并建立了关联用户的电驱动总成效率评价方法.本研究为更加全面了解电驱动产品用户端使用特征、合理评价电驱动总成效率和电驱动总成效率匹配优化提供了参考依据.
Abstract
To achieve the correlation between the efficiency evaluation of the electric drive assembly and the user side, this paper proposes a method for efficiency evaluation based on the actual driving conditions of the user.Based on the collected user operation data of an electric vehicle, the torque-speed operating point distribution under the user ' s target mileage is predicted by kernel density estimation and MCMC sampling method.An efficiency prediction model driven by bench efficiency data is proposed and a GA-BP efficiency prediction model is built.Combined with the torque-speed operating point distribution and efficiency prediction model under the user ' s target mileage, a user-associated electric drive assembly efficiency evaluation method is proposed.Our study deepens our understanding of the characteristics of electric drive products at the user end and provides some references fora reasonable evaluation of electric drive assembly efficiency and optimization of electric drive assembly efficiency matching.
关键词
用户关联/电驱动总成/遗传算法/效率预测/效率评价Key words
user association/electric drive assembly/genetic algorithms/efficiency projection/efficiency evaluation引用本文复制引用
基金项目
重庆巴南区科技成果转化及产业化专项(2021TJZ004)
重庆理工大学研究生教育高质量发展行动计划资助项目(gzlcx20232020)
重庆英才计划"包干制"项目(cstc2022ycjhbgzxm0214)
出版年
2024
国家科技期刊平台
NSTL
万方数据