Towards improving the estimation performance of a given nonlinear observer: a multi-observer approach

Abstract

Effective management and just-in-time maintenance of lithium-ion batteries require the knowledge of unmeasured (internal) variables that need to be estimated. Observers are thus designed for this purpose using a mathematical model of the battery internal dynamics. It appears that it is often difficult to tune the observers to obtain good estimation performances both in terms of convergence speed and accuracy, while these are essential in practice. In this context, we demonstrate how a recently developed hybrid multiobserver can be used to improve the performance of a given observer designed for an electrochemical model of a lihium-ion battery. Simulation results, obtained with standard parameters values, show the estimation performance improvement using the proposed method.

A Review on Battery Model-Based and Data-Driven Methods for Battery Management Systems

“…In addition, using the previous (Equation (10)) and (Equations ( 6) and ( 7)), it is possible to express the voltage affecting the RC network as follows:…”

“…The ECMs involve representing the complex electrochemical processes occurring within a battery as a simplified circuit with various components. Engineers and researchers can analyze and simulate the battery's performance under different conditions [8][9][10][11]. The equivalent circuit model typically consists of idealized components such as resistors, capacitors, and voltage sources, representing the various physical phenomena occurring within the battery [12][13][14][15][16].…”

Memory Saving State-Sharing Multi-Observer for a Class of Multi-Observer-Based Algorithms

“…The multi-observer is employed in many settings, including supervisory control [8], [9], supervisory observer [10], [11], [12] and in secure state estimation algorithms for systems under sensor attacks [2], [3], [4], [5], [6], [7]. A common implementation bottleneck, especially for estimation, is the need for many observers (2) either for estimation accuracy or to mitigate sensor attacks.…”

Modelling and Estimation in Lithium-Ion Batteries: A Literature Review

“…Nonetheless, this type of modelling may not always be possible in battery systems. In this sense, the authors of [173,174] developed techniques that allow for a reduction in the effects of uncertainty and noise in the estimation quality when they are not statistically modelled. • Applications: The literature encompasses a substantial body of work on observer design, along with papers addressing optimal control in LIBs, which necessitates state estimation.…”