Battery loss prediction using various loss models: A case study for a residential building
Journal article, 2023
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 108048From 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