This paper proposes a novel filtering algorithm for simultaneous estimation of unknown inputs and states of a class of nonlinear discrete-time heterogeneous multi-agent systems.Based on the Taylor approximation of the...This paper proposes a novel filtering algorithm for simultaneous estimation of unknown inputs and states of a class of nonlinear discrete-time heterogeneous multi-agent systems.Based on the Taylor approximation of the nonlinear multiagent system,a distributed semi-cooperative switch-mode filter is developed to achieve the minimum-variance unbiased(MVU)estimation of the unknown inputs and states.Compared with the conventional decentralized EKF-based unknown input filter,the proposed distributed filter has a more relaxed existence condition of the filter,which makes it more applicable in reality.This new type of filter is then successfully applied to the simultaneous estimation of state of charge(SOC)and temperature of a battery pack for battery management of electric vehicles and grid-tied energy storage systems.展开更多
基金supported by the National Natural Science Foundation of China(No.61822308 and No.61751307)the Natural Science Foundation of Shandong Province(No.JQ201812)the Research Fund for the Taishan Scholar Project of Shandong Province of China.
文摘This paper proposes a novel filtering algorithm for simultaneous estimation of unknown inputs and states of a class of nonlinear discrete-time heterogeneous multi-agent systems.Based on the Taylor approximation of the nonlinear multiagent system,a distributed semi-cooperative switch-mode filter is developed to achieve the minimum-variance unbiased(MVU)estimation of the unknown inputs and states.Compared with the conventional decentralized EKF-based unknown input filter,the proposed distributed filter has a more relaxed existence condition of the filter,which makes it more applicable in reality.This new type of filter is then successfully applied to the simultaneous estimation of state of charge(SOC)and temperature of a battery pack for battery management of electric vehicles and grid-tied energy storage systems.
