Advanced Battery Test Bench For Realistic Vehicle Driving Conditions Assessment

This study presents a battery test bench, adaptable to different battery types, designed to replicate real-world vehicle operating conditions but also constant charge and discharge configurations. It incorporates on-board communication via the Controller Area Network (CAN). Unlike conventional battery test setups, which typically focus on single cells and constant current profiles, this test bench evaluates battery packs under dynamic current loads, allowing simulation of real-world driving conditions such as the Worldwide Harmonized Light Vehicles Test Procedure (WLTP) or other driving cycles. The test bench also has an ambient temperature control from $5^{\circ} \mathrm{C}$ to $60^{\circ} \mathrm{C}$. It provides accurate data acquisition of cell voltage and current, cell and ambient temperature, and resistance at multiple levels - pack, string, and individual cells for a more complete understanding of battery behavior. The system is controlled by a Python-based code that enables real-time monitoring and automation. The platform enables improved battery management system (BMS) validation, energy optimization strategies, and overall performance analysis. Although there are many battery cycling databases in the literature, there is a lack of databases that address the conditions that batteries must endure during realistic driving cycles.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/cpe-powereng63314.2025.11027228
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.68
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article

Advanced Battery Test Bench For Realistic Vehicle Driving Conditions Assessment

Jordi‐Roger Riba, J. A. Ortega, Joaquín de la Vega
1 citations
Advanced Battery Technologies Research
0.68
article

Advanced Battery Test Bench For Realistic Vehicle Driving Conditions Assessment

Jordi‐Roger Riba, J. A. Ortega, Joaquín de la Vega
article en
1 citations

Abstract

This study presents a battery test bench, adaptable to different battery types, designed to replicate real-world vehicle operating conditions but also constant charge and discharge configurations. It incorporates on-board communication via the Controller Area Network (CAN). Unlike conventional battery test setups, which typically focus on single cells and constant current profiles, this test bench evaluates battery packs under dynamic current loads, allowing simulation of real-world driving conditions such as the Worldwide Harmonized Light Vehicles Test Procedure (WLTP) or other driving cycles. The test bench also has an ambient temperature control from $5^{\circ} \mathrm{C}$ to $60^{\circ} \mathrm{C}$. It provides accurate data acquisition of cell voltage and current, cell and ambient temperature, and resistance at multiple levels - pack, string, and individual cells for a more complete understanding of battery behavior. The system is controlled by a Python-based code that enables real-time monitoring and automation. The platform enables improved battery management system (BMS) validation, energy optimization strategies, and overall performance analysis. Although there are many battery cycling databases in the literature, there is a lack of databases that address the conditions that batteries must endure during realistic driving cycles.

Universitat Politècnica de Catalunya (ES)
Climate action
Openalex Percentile: Top 29%
Advanced Battery Technologies Research
0.68
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Advanced Battery Test Bench For Realistic Vehicle Driving Conditions Assessment — Jordi‐Roger Riba, J. A. Ortega, et al. · (2025) | TGRS Research Map | TGRS