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In-laboratory mobile device data gathering is useful to support fields of study that rely on data derived from mobile devices as elementary research input. Particularly, Dew Computing, a sub-area of mobile distributed computing, aims at scavenging idle computing resources from mobile devices at the edge. To produce repeatable experiments for developed Dew approaches, simulation of relevant mobile device aspects is an acceptable practice, being battery behavior one of such aspects. Our recently-proposed DewSim simulation toolkit uses a trace-based approach to model battery behavior realistically. However, to generically characterize the impact of different device components – e.g., CPU at different usages – on battery behavior, it is necessary to easily capture battery traces, and run benchmarks to quantify computing capabilities. Considering that traces are captured during long charging or discharging …