The invention discloses a new energy automobile battery detection system and method, relates to the field of battery detection, and is used for accurately estimating a driving length and solving the problem of insufficient length, collecting battery characteristic information and environment characteristic information, obtaining the battery characteristic information and the environment characteristic information to establish a data analysis model, generating a balance evaluation coefficient, and calculating the balance evaluation coefficient. Comparing and analyzing with a balance threshold value to obtain a comparison result, determining the difference number of the battery packs, then determining the total number of the battery packs, comparing the statistics with an adjustment threshold value, determining whether to adjust the preset driving length or not, and obtaining an adjustment signal which comprises the battery energy consumption degree and the battery aging degree; the fuzzy Bayesian neural network is used for determining the residual capacity loss rate, the layer result is output according to the fuzzy Bayesian neural network, whether the residual battery compartment is started or not is determined, the error between the preset driving length and the actual driving length is reduced, the situation that a user uses a plan is delayed is avoided, and the completion rate of the user using the plan is also guaranteed.
本发明公开了一种新能源汽车电池检测系统及方法,涉及电池检测领域,用于精确预估行驶长度和长度不足的问题,采集电池特征信息和环境特征信息,获取电池特征信息和环境特征信息建立数据分析模型,生成均衡评估系数,并与均衡阈值进行比对分析,得到比对结果,确定电池组差异数量,再确定电池组总数量,并将其统计与调整阈值比对,确定是否调整预设行驶长度,获取调整信号,其中包含电池耗能程度和电池老化程度,使用模糊贝叶斯神经网络确定剩余容量损耗速率,根据模糊贝叶斯神经网络输出层结果,确定亢余电池仓是否启动,缩小预设行驶长度与实际行驶长度的误差,避免延误用户使用计划,也保障了用户使用计划的完成率。
New energy automobile battery detection system and method
一种新能源汽车电池检测系统及方法
2024-10-25
Patent
Electronic Resource
Chinese
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