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- W2384457344 abstract "Forecasting battery surplus capacity is a key technology in hybrid electric vehicle.On the basis of the pulse charge and discharge characteristic of the storage cell used for hybrid electric vehicle,a real-time online GM(1,1) forecast model is established to forecast the cell capacity in consideration of the non-linear relationship between the internal resistance of the battery and cell capacity.The normal modeling theory of GM(1,1) are introduced firstly,however,the online forecast of storage cell is worked with the grey GM(1,1) model group to improve the precision.Then the principle and method of grey GM(1,1) model group to improve the precision are analyzed in detail.The results of simulation indicate that the grey GM(1,1) model group can obviously improve the precision of forecasting,increase the reliability of forecasting and also avoid the deficiencies of simple gray model,which was easily affected by unstable information.So it can do the early forecasting evaluation to the capacity of battery,which is fit for the request of the HEV well." @default.
- W2384457344 created "2016-06-24" @default.
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- W2384457344 date "2009-01-01" @default.
- W2384457344 modified "2023-09-23" @default.
- W2384457344 title "Forecasting Battery Surplus Capacity in Hybrid Electric Vehicle Using Grey Theory" @default.
- W2384457344 hasPublicationYear "2009" @default.
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