Dual-motor electric car endurance mileage estimation method for predicting fusion energy consumption
A technology for electric vehicles and cruising range, which is applied in the field of estimating the cruising range of dual-motor electric vehicles, can solve problems such as the long charging process, and achieve the effect of fast and effective cruising range and estimated cruising range
Active Publication Date: 2019-11-12
FUZHOU UNIV
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At the same time, compared with the refueling time of traditional internal combustion engine vehicles, which only takes a few minutes, the charging process of electric vehicles is very long, usually lasting several hours.
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[0051] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0052] Please refer to figure 1, this embodiment relates to a dual-motor electric vehicle, and the system has 6 working modes in total, namely motor M1 drive (SM1), motor M2 drive (SM2), motor M1 and M2 torque coupling (TC), motor M1 and M2 speed coupling (SC), motor M1 brake (BM1), motor M2 brake (BM2). The switching of these working modes can be realized by closing and opening the brakes L1 and L2 and changing the position of the connector T (three positions of left, middle and right). As shown in Table 1, in the 6 working modes due to the power transmission route different
[0053] Table 1 Correspondence between working modes and components
[0054]
[0055] refer to figure 2 , in this implementation, a method for estimating the cruising range of a dual-motor electric vehicle that integrates energy consumption prediction includes the followin...
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The invention relates to a dual-motor electric car endurance mileage estimation method for predicting fusion energy consumption. The method comprises the following steps of S1, collecting working condition characteristic parameters and current speed according to actual operation data; S2, constructing an energy consumption estimation model; S3, according to the characteristic parameters, utilizinga working condition recognizer for obtaining the current working condition type of an automobile; S4, according to the working condition type, obtaining a state transfer matrix through calculation; S5, predicting and obtaining the next moment speed according to the current speed through the state transfer matrix, and calculating and obtaining acceleration; S6, according to the speed, the acceleration and a battery SOC, looking up a stable, and obtaining a working mode; S7, according to the working mode, adopting the speed and acceleration as the energy consumption estimation model, and predicting the battery output power; S8, according to the battery SOC, calculating the battery remaining available energy, and according to the remaining energy and the predicted battery output power, calculating and obtaining the endurance mileage. The future energy consumption can be rapidly and effectively predicted, and the endurance mileage is estimated.
Description
technical field [0001] The invention relates to the field of estimating the cruising range of a pure electric vehicle, in particular to a method for estimating the cruising range of a dual-motor electric vehicle combined with energy consumption prediction. Background technique [0002] The battery capacity of electric vehicles severely limits the mileage of electric vehicles. For routes with slightly longer mileage, it is inevitable to need to charge during driving. At the same time, compared with the refueling time of traditional internal combustion engine vehicles, which only takes a few minutes, the charging process of electric vehicles is very long, usually lasting several hours. Therefore, the charging problem during the driving of electric vehicles cannot be ignored. How to avoid the situation of insufficient power and unable to charge while driving, and how to reasonably choose the location and duration of charging are all problems that need to be solved urgently. ...
Claims
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IPC IPC(8): B60L3/12B60L58/10B60L58/12
CPCB60L3/12B60L58/10B60L58/12Y02T10/70
Inventor 林歆悠张光吉周斌豪伍家鋆王召瑞
Owner FUZHOU UNIV