基于电池能量状态估计和车辆能耗预测的电动汽车续驶里程估计方法研究 | |
刘光明 ; 欧阳明高 ; 卢兰光 ; 韩雪冰 ; 谷靖 ; Liu Guangming ; Ouyang Minggao ; Lu Languang ; Han Xuebing ; Gu Jing | |
2016-03-30 ; 2016-03-30 | |
关键词 | 电动汽车 续驶里程估计 电池能量状态 车辆能耗预测 climatology statistical characteristic basic geographic information system tropical cyclone county characteristics typhoon disaster prevention and reduction U469.72 |
其他题名 | Driving Range Estimation for Electric Vehicles Based on Battery Energy State Estimation and Vehicle Energy Consumption Prediction |
中文摘要 | 本文中提出一种基于动力电池能量状态估计和车辆能耗预测的续驶里程估计模型。电池能量状态估计采用电池状态模型估计电池剩余的可用能量,分析了不同因素的影响。利用纯电动车测试数据,基于递推最小二乘算法辨识车辆能耗参数,结合行驶工况预测汽车能耗,进而计算续驶里程。与传统的续驶里程估计方法相比,基于电池能量状态估计和整车能耗预测的续驶里程估计模型的精度有较大提高。; In this paper,a driving range estimation model is proposed based on the energy state estimation of traction battery and vehicle energy consumption prediction.On one hand,battery state model is built to estimate the remaining usable energy of battery and analyze the effects of different factors on it.By using vehicle test data,the energy consumption parameters of vehicle are identified with recursive least-squares algorithm,and with the driving conditions predicted,the energy consumption of vehicle and hence the driving range are calculated.Compared with the conventional methods,the driving range estimation model proposed based on battery energy state estimation and vehicle energy consumption prediction is more accurate. |
语种 | 中文 ; 中文 |
内容类型 | 期刊论文 |
源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/144867] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | 刘光明,欧阳明高,卢兰光,等. 基于电池能量状态估计和车辆能耗预测的电动汽车续驶里程估计方法研究[J],2016, 2016. |
APA | 刘光明.,欧阳明高.,卢兰光.,韩雪冰.,谷靖.,...&Gu Jing.(2016).基于电池能量状态估计和车辆能耗预测的电动汽车续驶里程估计方法研究.. |
MLA | 刘光明,et al."基于电池能量状态估计和车辆能耗预测的电动汽车续驶里程估计方法研究".(2016). |
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