Acquisition method of battery state of charge reference variation in time domain based on driving mileage
A battery state of charge, mileage technology, applied in battery/fuel cell control devices, electric vehicles, transportation and packaging, etc., can solve problems such as unbalanced power usage
Active Publication Date: 2020-11-10
CHONGQING UNIV
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Problems solved by technology
[0010] The purpose of the present invention is to address the corresponding deficiencies in the prior art, to provide a method for obtaining the reference variation of the battery state of charge in the time domain based on the mileage, and to solve the problem of unbalanced power usage in the energy management control strategy of plug-in hybrid electric vehicles It maximizes the advantages of plug-in hybrid electric vehicles that can be connected to external power sources, and provides good theoretical and technical support for the solution of energy management strategies for plug-in hybrid electric vehicles in cycle applications.
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Embodiment Construction
[0104] Such as Figure 1 to Figure 11 As shown, a method for obtaining the battery state of charge reference variation in the time domain based on the mileage includes the following steps:
[0105] (1) Use the working condition recognition algorithm to divide the sample data of vehicle driving into a plurality of different typical working condition types;
[0106] The working condition identification algorithm described in step (1) comprises the following steps:
[0107] ① Divide the sample data of vehicle driving into working condition blocks to obtain driving sample working condition blocks;
[0108] The vehicle will stop frequently during operation. The movement segment of the vehicle from one parking point to the next is called a working condition block. In order to facilitate data processing, the sample data of the vehicle driving is divided into many working condition blocks.
[0109] In this embodiment, the driving condition data of Chongqing collected by the real veh...
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The invention relates to the field of plug-in hybrid electric automobiles, in particular to a method for obtaining a reference change amount of a state of charge of a battery in a time domain based ondriving mileage. The method comprises the following steps that (1) sample data of vehicle driving are divided into a plurality of different typical working condition types by utilizing a working condition recognition algorithm; (2) characteristic parameters which can represent a descending rule of the state of charge of the battery is obtained through calculation by means of a dynamic planning algorithm, and a change amount of the state of charge of the battery at the average unit distance in a spatial domain of the vehicle under the same typical working condition is obtained through offlinesimulation; and (3) the reference change amount of the state of charge of the battery in the time domain of the vehicle under the same typical working condition is calculated by utilizing the change amount of the state of charge of the battery at the average unit distance in the spatial domain of the vehicle under the same typical working condition. The method solves the problem that electric quantity use of the plug-in hybrid electric automobile energy management control strategy is unbalanced, and the advantages of the plug-in hybrid electric automobile which can be externally connected withthe power supply are exerted to the maximum extent.
Description
technical field [0001] The invention relates to the field of plug-in hybrid electric vehicles, in particular to a method for acquiring reference variation of battery state of charge in time domain based on mileage. Background technique [0002] Because the plug-in hybrid electric vehicle can be charged by an external power supply and has a larger battery capacity, the cruising range is much longer than that of the traditional hybrid electric vehicle, and there is no worry that the electric vehicle will not work after the power is exhausted. [0003] For the energy management control strategy of traditional hybrid electric vehicles, at the end of the trip, the final value of the battery state of charge should be kept equal to the initial value to avoid battery overcharge and overdischarge, that is, the power retention mode. Therefore, when the optimization algorithm is used to make control variable decisions, the reference value of the battery state of charge is the initial v...
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IPC IPC(8): B60W20/00B60W50/00B60L58/12
CPCB60L58/12B60W20/00B60W50/00B60W2050/0039B60W2510/244Y02T10/70
Inventor 刘永刚郭缘刘丽韩宁吴世展张刘鑫陈峥秦大同
Owner CHONGQING UNIV