SOH Estimator
Libraries:
Simscape /
Battery /
BMS /
Estimators
Description
This block implements an estimator that calculates the state of health (SOH) of a battery. The SOH reflects the condition of a battery relative to its ideal conditions. Health variations imply that the capacity and power of the battery fade over time.
This block supports single-precision and double-precision floating-point simulation.
Note
To enable single-precision floating-point simulation, the data type of all inputs and
parameters must be single
.
This diagram shows the structure of the block:
Equations
The terminal resistance R0 is an important indicator of the aging of a battery. You can estimate the terminal resistance by using the SOC Estimator (Adaptive Kalman Filter) block. The SOH Estimator block computes the SOH as a function of the terminal resistance R0:
where REOL is the end-of-life resistance and R0,new is the terminal resistance when the battery is new.
Examples
Ports
Input
Output
Parameters
References
[1] Noura, Nassim, Loïc Boulon, and Samir Jemeï. “A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges.” World Electric Vehicle Journal 11, no. 4 (October 16, 2020): 66. https://doi.org/10.3390/wevj11040066.
Extended Capabilities
Version History
Introduced in R2022b