While interpreting HPPC results it is important to note that the estimates are dependent on the prescribed pulse duration and initial conditions. For instance, the maximum voltage drop due to the discharge current pulse occurs at the end of the pulse. If the discharge current is allowed to extend beyond the stated period of, say 10s, the power capability estimate will decrease because of a lower Vmin. Therefore care has to be taken on how to interpret HPPC data. HPPC testing has proved to be useful because applying short current pulses gives us a window into the physical behaviour inside the cell. For instance short current pulses allow interfacial phenomena to be captured, whereas longer pulse durations ensure the bulk diffusional effects are also accounted for. This gives us a window into the physical phenomena going on in a cell without either extensive experimentation or first principles modelling. Understanding how to setup the experiments, and how to interpret results can help extract valuable information from the experimentation and do efficient predictive analysis. Recent research has investigated the impact of varying pulse duration and rest periods between charge and discharge pulses on the model accuracy. To summarize, apart from the original stated goal of estimating the power capacity of a battery, HPPC data can also give you information on internal impedance and SOC vs OCV. Using this information, mathematical models can be setup to predict voltage and heat generation for any drive cycle, and at different temperatures.