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  5. Hydrogen Evolution in Battery Electric Vehicle Coolants During Accidental Leakage: The Impact of Corrosion Inhibitors and Electrical Conductivity

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Article
en
2025

Hydrogen Evolution in Battery Electric Vehicle Coolants During Accidental Leakage: The Impact of Corrosion Inhibitors and Electrical Conductivity

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en
2025
Vol 15 (11)
Vol. 15
DOI: 10.3390/app15116168

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Herman Terryn
Herman Terryn

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Luciane Sopchenski
Sander Clerick
Guy Buytaert
+4 more

Abstract

Efficient thermal management is critical to the performance and acceptance of battery electric vehicles (BEVs). In the event of coolant leakage, contact between conventional water–glycol coolants and polarized battery components may induce hydrogen evolution via electrolysis, posing a serious safety hazard. This study investigates the impact of copper corrosion inhibitors and coolant electrical conductivity on hydrogen gas formation through linear sweep voltammetry (LSV) using copper electrodes. Results indicate that commonly used corrosion inhibitors—Tolyltriazole (TTZ), Benzotriazole (BTZ), and Sodium Mercaptobenzothiazole (MBT-Na)—do not significantly reduce hydrogen evolution, even in synergistic combinations. On the other hand, lowering the coolant electrical conductivity markedly decreased hydrogen evolution, with a linear reduction in cathodic current observed in low-conductivity coolants due to the reduced ionic mobility of the electrolyte. Low-conductivity BEV coolant (86 µS/cm) presented a cathodic current density 96% lower than a high-conductivity ICE coolant (2577 µS/cm) at the same overpotential. These findings suggest that optimizing coolant conductivity is a more effective mitigation strategy than relying on corrosion inhibitor formulations.

How to cite this publication

Luciane Sopchenski, Sander Clerick, Guy Buytaert, Serge Lievens, Theodoros Kalogiannis, Annick Hubin, Herman Terryn (2025). Hydrogen Evolution in Battery Electric Vehicle Coolants During Accidental Leakage: The Impact of Corrosion Inhibitors and Electrical Conductivity. , 15(11), DOI: https://doi.org/10.3390/app15116168.

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Publication Details

Type

Article

Year

2025

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/app15116168

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