Sensitivity Analysis of the Battery System State of Power
Journal article, 2022

In battery-powered applications, it is necessary to estimate the battery system’s maximum allowed current/power for a certain future time horizon, commonly referred to as the system’s state of power (SoP). Battery system SoP is sensitive to multiple factors, such as battery state of health, state of charge, temperature, and their imbalances in multi-battery systems. Analyzing such sensitivities is important for selecting appropriate system components and connection structure during the system design as well as for predicting substantial SoP changes to proactively guide the online power control. However, such sensitivity analyses are challenging since the SoP is not directly expressed in terms of these factors and the SoP expression can become significantly complicated for interconnected heterogeneous battery cells. To address these challenges, qualitative and quantitative sensitivity analyses are first conducted for both series and parallel battery systems by deriving approximate expressions for the maximum system currents constrained by different operating limits. Some critical insights, commonly overlooked in industrial practices, have been revealed for improving the system SoPs. To pursue reliable analysis results, exact system SoPs are evaluated based on an accurate estimation method along with battery modeling parameters identified through experiments. Experimental tests are also performed to demonstrate some analysis results.

Temperature sensors

state of health

power capability

Transportation

Estimation

state of charge

Voltage

Resistance

Batteries

sensitivity analysis

Multi-battery system

Sensitivity analysis

state of power

Author

Weiji Han

Chalmers, Electrical Engineering, Systems and control

Faisal Altaf

Volvo Group

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

Torsten Wik

Chalmers, Electrical Engineering, Systems and control

IEEE Transactions on Transportation Electrification

2332-7782 (eISSN)

Vol. 8 1 976-989

Driving Forces

Sustainable development

Subject Categories

Energy Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

Areas of Advance

Energy

DOI

10.1109/TTE.2021.3116658

More information

Latest update

3/25/2022