The invention relates to a new energy automobile electric power intelligent monitoring system comprising a parameter detection mechanism used for detecting the battery internal resistance, the actual capacity, the rated capacity, the energy density, the battery power density, the open-circuit voltage and the working voltage of a battery used by a new energy automobile at the current moment; and the mileage prediction device is used for adopting a BP neural network model to predict the endurance mileage at the current moment based on the battery data at the current moment when the battery is used and the normalized data of a plurality of endurance mileages respectively corresponding to a plurality of moments at the newest uniform time interval before the current moment. The new energy automobile electric power intelligent monitoring system is compact in structure and stable in operation. The endurance mileage can be intelligently predicted based on the various battery data of the battery used by the new energy automobile at the current moment and a plurality of endurance mileages at the past moments, so that various influence factors influencing the battery use are fully considered, and reliable and effective endurance data are provided for automobile users.
本发明涉及一种新能源汽车电力智能监测系统,包括:参数检测机构,用于检测新能源汽车使用电池在当前时刻的电池内阻、实际容量、额定容量、能量密度、电池功率密度、开路电压以及工作电压;里程预测器件,用于采用BP神经网络模型以基于使用电池的当前时刻的各项电池数据以及当前时刻之前最新的均匀时间间隔的多个时刻分别对应的多个续航里程的归一化数据预测当前时刻的续航里程。本发明的新能源汽车电力智能监测系统结构紧凑、运行稳定。由于能够基于新能源汽车使用电池的当前时刻的各项电池数据以及过往时刻多个续航里程智能预测续航里程,从而充分考虑到影响使用电池的各项影响要素,为汽车用户提供可靠、有效的续航数据。
New energy automobile electric power intelligent monitoring system
新能源汽车电力智能监测系统
2023-06-06
Patent
Electronic Resource
Chinese
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