PulseBat: A field-accessible dataset for second-life battery diagnostics from realistic histories using multidimensional rapid pulse test
Shengyu Tao, Guangyuan Ma, Huixiong Yang, Minyan Lu, Guodan Wei,, Guangmin Zhou, Xuan Zhang

TL;DR
PulseBat introduces a comprehensive dataset of second-life lithium-ion batteries tested under various pulse conditions, enabling improved diagnostics and safety assessments for battery reuse in energy-deprived regions.
Contribution
This work provides a large, diverse dataset of second-life batteries with detailed pulse test responses, facilitating advanced diagnostics and safety evaluation methods.
Findings
Recorded voltage and temperature responses under multiple pulse conditions.
Dataset covers various cathode types, usage histories, and physical formats.
Enables improved state-of-charge and state-of-health estimation methods.
Abstract
As electric vehicles (EVs) approach the end of their operational life, their batteries retain significant economic value and present promising opportunities for second-life use and material recycling. This is particularly compelling for Global South and other underdeveloped regions, where reliable energy storage is vital to addressing critical challenges posed by weak and even nonexistent power grid and energy infrastructures. However, despite this potential, widespread adoption has been hindered by critical uncertainties surrounding the technical performance, safety, and recertification of second-life batteries. In cases where they have been redeployed, mismatches between estimated and actual performance often render batteries technically unsuitable or hazardous, turning them into liabilities for communities they were intended to benefit. This considerable misalignment exacerbates…
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