| Power type lithium battery for its outstanding performance to replacetraditional power battery is an inevitable trend. Along with the power lithiumbattery application areas continue to expand and application level promotion, roughmanagement system can not meet the application requirements. This project isbased on key technologies of the current battery management system and electroniccontrol unit of the battery management system hardware and software development,so as to realize the multistage number of large capacity power lithium batterygroup’s effective control and information management.The main work of this paper has:(1) By researching on the Power lithium battery principle and basiccharacteristic parameters can provides the design basis for BMS system.(2) Analysis of two key technologies of power lithium battery managementsystem. First, by comparing the introduction of several commonly used batterySOC estimation method, this paper presents a power lithium battery SOCestimation methods based on BP neural network, through modeling, simulationverify the feasibility of the method; A detailed analysis of the battery inconsistencyissue basis, this paper has proposed three kinds of balance control strategy, they are:Based on the external voltage, based on capacity of and based on SOC. By contrast,this paper presents a balance control strategy based on the external voltage.(3) The Realization of BMS controller. On the analysis of several commonbattery management system hardware structure, the paper has proposed a “total-General-total "structure for battery management system, and increased batterybalance hardware module based on the outside voltage balance control strategies.The system software has used the modular designation and used the appropriatealgorithm to complete the remaining capacity SOC estimation, and the addition ofthe CAN communication interface function. Finally, take the software and hardwareanti-jamming measures to ensure the robustness of the system. |
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