Affiliation:
1. Chongqing University, School of Electrical Engineering
2. Chongqing University, College of Mechanical and Vehicle
3. Chongqing University, Department of Mechanical and Vehicle
Abstract
<div class="section abstract"><div class="htmlview paragraph">Control observer-based estimation methods are getting a very rapid appreciation
due to their better reliability, stability and ease of implementation in already
controller-packed electric vehicles and energy storage systems. As a careful
sensitivity analysis is the one vital tool to enhance the accuracy and
robustness of lithium-ion battery’s states estimation, an experimental
sensitivity analysis is proposed to enhance the accuracy and efficiency of
battery states and parameter estimation of non-linear control observer. This
paper categorically uses INR21700-M50T cells for experimental characteristic
analysis of lithium-ion batteries. The results of this practical work are then
used in the successful design, simulation and validation of an advanced
proportional integral observer. The validated proportional-integral (PI)
observer is then used to carry out the proposed sensitivity analysis, and
deviations resulted in estimation accuracy due to the sensitivity of each
parameter are analyzed, closely examined and dominant/highly sensitive parameter
is identified based on the new estimation error statistics. Finally, the
valuable insights are concluded on the need for improved identification and
simultaneous estimation of dominant parameters in control observers.</div></div>