Artificial neural network algorithm-based battery management system and method
An artificial neural network and battery management system technology, applied in the field of battery management systems based on artificial neural network algorithms, can solve problems such as large errors, difficulty in accurately estimating battery parameters, and inability to calculate SOC values, so as to improve accuracy Degree, the effect of improving the service life
Active Publication Date: 2016-03-23
CHONGQING SOUTHWEST INTEGRATED CIRCUIT DESIGN
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Problems solved by technology
At this stage, the SOC value estimation of the BMS system is mostly estimated by the method of calibrating the power value of the battery terminal voltage value in practical applications. Since the power value of the battery pack does not change linearly with the battery terminal voltage value, the voltage calibration method is used for power estimation. There is a large error (about -10% to +10%), so that the accurate SOC value cannot be calculated by this method, and it is difficult to meet the requirements of accurately estimating battery parameters
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[0051] see figure 1 and figure 2 , a battery management system based on an artificial neural network algorithm, including a program-controlled conversion and equalization circuit 1, a DC programmable power supply 2, an electronic load 3, a temperature detection circuit 4, a digital multimeter 5 and a host computer 6; it is characterized in that:
[0052] The DC programmable power supply 2, the electronic load 3 and the digital multimeter 5 are all remotely programmed and controlled by the host computer 6; the DC programmable power supply 2, the electronic load 3 and the digital multimeter 5 pass through the first relay 7, the second relay 8 and the The three relays 9 are connected with the battery pack 10;
[0053] The DC programmable power supply 2 is used to charge the battery pack, and detects the charging current and outputs it to the host computer 6;
[0054] The electronic load 3 is used to perform a discharge test on the battery pack, detect the discharge current of ...
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The invention discloses an artificial neural network algorithm-based battery management system and method. The artificial neural network algorithm-based battery management system comprises a program-controlled conversion and balance circuit, a direct-current programmable power supply, an electronic load, a temperature detection circuit, a digital multimeter and an upper computer. The artificial neural network algorithm-based battery management system is characterized in that the direct-current programmable power supply, the electronic load and the digital multimeter are all subjected to remote programming control by the upper computer; the direct-current programmable power supply, the electronic load and the digital multimeter are connected with a battery pack through a first relay, a second relay and a third relay respectively; the direct-current programmable power supply is used for charging the battery pack and detecting a charging current to output to the upper computer; and the electronic load is used for carrying out a discharging test on the battery pack, detecting a discharging current of the battery pack and outputting the discharging current to the upper computer. By an artificial neural network algorithm, the mapping rule of the electric quantity of the battery pack and dynamic parameters of the battery pack is obtained; accurate monitoring of the state of the battery pack is achieved; and the artificial neural network algorithm-based battery management system and method can be widely applied to the battery management system.
Description
Technical field: [0001] The invention relates to a battery management system and method, in particular to a battery management system and method based on an artificial neural network algorithm. technical background: [0002] The battery management system (Battery Management System) is the link between the battery and the user, and the main application object of the system is the secondary battery. The battery management system (hereinafter referred to as the BMS system) mainly provides a comprehensive solution for the problems of less energy storage, short life, completeness of use, and difficulty in estimating battery power in individual batteries. The purpose is to obtain battery-related performance parameters. Real-time accurate data and monitoring to achieve the purpose of improving battery utilization. [0003] The BMS system mainly includes three functions: the first is to accurately estimate the state of charge (State of Charge, hereinafter referred to as SOC) of the...
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Login to View More IPC IPC(8): H02J7/00
CPCH02J7/0014H02J7/0021H02J7/00302H02J7/00304H02J7/00306H02J7/0036
Inventor 胥昕苏良勇王露杨再能
Owner CHONGQING SOUTHWEST INTEGRATED CIRCUIT DESIGN