{"title":"基于Gompertz模型的电动汽车保有量预测","authors":"Xiaolei Li, Enjie Wang, Chengjin Zhang","doi":"10.1109/ICINFA.2014.6932631","DOIUrl":null,"url":null,"abstract":"This paper introduces the common prediction methods of vehicle ownership, and makes a compare of the Gompertz model with Logistic model. As a result, a prediction model based on the Gompertz model is proposed to predict the electric vehicle ownership of China. Then, the calculation of the model's parameters is given. Finally, we predict the electric vehicle ownership with the civilian car ownership data of China. According to the prediction results, China's electric vehicle ownership will reach the inflection point around 2035, and tend to be saturated gradually.","PeriodicalId":427762,"journal":{"name":"2014 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Prediction of electric vehicle ownership based on Gompertz model\",\"authors\":\"Xiaolei Li, Enjie Wang, Chengjin Zhang\",\"doi\":\"10.1109/ICINFA.2014.6932631\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the common prediction methods of vehicle ownership, and makes a compare of the Gompertz model with Logistic model. As a result, a prediction model based on the Gompertz model is proposed to predict the electric vehicle ownership of China. Then, the calculation of the model's parameters is given. Finally, we predict the electric vehicle ownership with the civilian car ownership data of China. According to the prediction results, China's electric vehicle ownership will reach the inflection point around 2035, and tend to be saturated gradually.\",\"PeriodicalId\":427762,\"journal\":{\"name\":\"2014 IEEE International Conference on Information and Automation (ICIA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Information and Automation (ICIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2014.6932631\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2014.6932631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of electric vehicle ownership based on Gompertz model
This paper introduces the common prediction methods of vehicle ownership, and makes a compare of the Gompertz model with Logistic model. As a result, a prediction model based on the Gompertz model is proposed to predict the electric vehicle ownership of China. Then, the calculation of the model's parameters is given. Finally, we predict the electric vehicle ownership with the civilian car ownership data of China. According to the prediction results, China's electric vehicle ownership will reach the inflection point around 2035, and tend to be saturated gradually.