Battery loss prediction using various loss models: A case study for a residential building
Journal article, 2023

This work compares and quantifies the annual losses for three battery system loss representations in a case study for a residential building with solar photovoltaic (PV). Two loss representations consider the varying operating conditions and use the measured performance of battery power electronic converters (PECs) but differ in using either a constant or current-dependent internal battery cell resistance. The third representation is load-independent and uses a (fixed) round trip efficiency. The work uses sub-hourly measurements of the load and PV profiles and includes the results from varying PV and battery size combinations. The results reveal an inadequacy of using a constant battery internal resistance and quantify the annual loss discrepancy to −38.6%, compared to a case with current-dependent internal resistance. The results also show the flaw of modelling the battery system's efficiency with a fixed round trip efficiency, with loss discrepancy variation between −5 to 17% depending on the scenario. Furthermore, the necessity of accounting for the cell's loss is highlighted, and its dependence on converter loading is quantified.

Solar photovoltaic system

Battery energy storage system

Battery performance

Applied research

Lithium-ion batteries

Author

Patrik Ollas

Chalmers, Electrical Engineering, Electric Power Engineering

RISE Research Institutes of Sweden

Torbjörn Thiringer

Chalmers, Electrical Engineering, Electric Power Engineering

Mattias Persson

RISE Research Institutes of Sweden

Caroline Markusson

RISE Research Institutes of Sweden

Journal of Energy Storage

2352-152X (eISSN)

Vol. 70 108048

From photovoltaic generation to end-users with minimum losses – a full-scale demonstration

Swedish Energy Agency (P43276-1), 2017-01-01 -- 2020-12-31.

Probabilistic Forecasting for Battery Management

Swedish Energy Agency (47273-1), 2019-01-03 -- 2021-06-30.

Subject Categories

Energy Engineering

Building Technologies

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.est.2023.108048

More information

Latest update

7/10/2023