TY - GEN
T1 - Advanced Battery Test Bench For Realistic Vehicle Driving Conditions Assessment
AU - De La Vega, Joaquín
AU - Riba, Jordi Roger
AU - Ortega, Juan Antonio
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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°C to 60°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.
AB - 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°C to 60°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.
KW - CAN bus
KW - cells
KW - driving cycle
KW - electrochemical batteries
KW - lithium-ion batteries
KW - test bench
UR - https://www.scopus.com/pages/publications/105009409919
U2 - 10.1109/CPE-POWERENG63314.2025.11027228
DO - 10.1109/CPE-POWERENG63314.2025.11027228
M3 - Conference contribution
AN - SCOPUS:105009409919
T3 - 2025 IEEE 19th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2025 - Proceedings
BT - 2025 IEEE 19th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2025 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2025
Y2 - 20 May 2025 through 22 May 2025
ER -