Battery SOC (state of charge) estimation method by utilizing vehicle-mounted charging machine identification battery parameter
A technology of battery state of charge and on-board charger, which is applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., and can solve problems such as difficult implementation, nonlinear attenuation of battery capacity, and difficult operation
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2015-11-18
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to the technical field of electric vehicle power battery management systems, in particular to a method for estimating the state of charge of a battery using a vehicle-mounted bidirectional charger to identify battery parameters. Background technique
[0002] The power battery is a key component that affects the service life, safety and economy of electric vehicles. Efficient and reliable management through the battery management system (Battery Management System, BMS) is an important guarantee for the safe driving of vehicles. The accurate estimation of the battery state of charge (State of Charge, SOC) is the core technology of the battery management system, which has an important impact on the safe and efficient use of power batteries.
[0003] At present, the SOC estimation methods mainly include the classic open circuit voltage method and the ampere-hour integration method, intelligent algorithm and extended Kalman filter met...
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Embodiment Construction
[0088] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings.
[0089] The specific process of the joint estimation algorithm of the present invention using the vehicle-mounted bidirectional charger to identify the battery parameters and estimating the battery SOC based on the extended Kalman filter algorithm is as follows:
[0090]Step 1: Use the vehicle-mounted bidirectional charger to conduct a pulse test on the battery, and identify the battery model parameters according to the electrochemical characteristics of the battery.
[0091] 1) Establish the equivalent circuit model of the power battery
[0092] This algorithm adopts the improved PNGV equivalent circuit model. like figure 1 As shown, the circuit consists of two parallel equivalent polarization resistors and equivalent polarization capacitors connected ...