Modeling the Future: Next-generation batteries and evaluation of Hybrid Energy Storage Systems with Physics-Based Models

This paper presents a simulation-based analysis of a Hybrid Battery Energy Storage System (HBESS) that combines a commercial nickel manganese cobalt (NMC811) cell with a next-generation cell featuring Silicon-Graphite (SiGr) and lithium nickel manganese oxide (LNMO) electrodes. Using two Pseudo Two-Dimensional (P2D) physics-based models, one for each cell in the HBESS, the system’s performance and degradation are evaluated. The work begins by outlining the current Lithium-Ion Battery (LIB) landscape and emphasizing emerging chemistries. The methodology used to calibrate the P2D model of the LNMO–SiGr cell is also described and validated against experimental full-cell data. A real-world stationary energy storage scenario is simulated to assess the benefits of hybridization. The proposed HBESS architecture reduces the cobalt content of the battery and mitigates degradation risks associated with silicon expansion by operating the LNMO–SiGr cell within a controlled 80–20% State of Charge (SOC) window. The NMC811 cell manages the system’s base load, ensuring stability, while the LNMO–SiGr cell provides supplementary energy during peak demands. This hybrid approach has the potential to enhance system durability, sustainability, and overall performance by leveraging the strengths of different lithium-ion chemistries.

Authors

Institutions

Publication Details

Published
2025-09-09
DOI
https://doi.org/10.1109/etfa65518.2025.11205585
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling the Future: Next-generation batteries and evaluation of Hybrid Energy Storage Systems with Physics-Based Models

Alejandro Clemente, Lluís Trilla, Francisco Díaz‐González, Simon Clark et al.
Advanced Battery Technologies Research
article

Modeling the Future: Next-generation batteries and evaluation of Hybrid Energy Storage Systems with Physics-Based Models

Alejandro Clemente, Lluís Trilla, Francisco Díaz‐González, Simon Clark, Lukas Neidhart, Killian Stokes-Rodriguez, Sergi Obrador, Andrés Bernabeu
article en

Abstract

This paper presents a simulation-based analysis of a Hybrid Battery Energy Storage System (HBESS) that combines a commercial nickel manganese cobalt (NMC811) cell with a next-generation cell featuring Silicon-Graphite (SiGr) and lithium nickel manganese oxide (LNMO) electrodes. Using two Pseudo Two-Dimensional (P2D) physics-based models, one for each cell in the HBESS, the system’s performance and degradation are evaluated. The work begins by outlining the current Lithium-Ion Battery (LIB) landscape and emphasizing emerging chemistries. The methodology used to calibrate the P2D model of the LNMO–SiGr cell is also described and validated against experimental full-cell data. A real-world stationary energy storage scenario is simulated to assess the benefits of hybridization. The proposed HBESS architecture reduces the cobalt content of the battery and mitigates degradation risks associated with silicon expansion by operating the LNMO–SiGr cell within a controlled 80–20% State of Charge (SOC) window. The NMC811 cell manages the system’s base load, ensuring stability, while the LNMO–SiGr cell provides supplementary energy during peak demands. This hybrid approach has the potential to enhance system durability, sustainability, and overall performance by leveraging the strengths of different lithium-ion chemistries.

AIT Austrian Institute of Technology GmbH (AT), SINTEF (NO), Institut de Recerca en Energia de Catalunya (ES), Universitat Politècnica de Catalunya (ES)
European Commission, Generalitat de Catalunya
Openalex Percentile: Top 67%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.