p7.analytic analyses a demand power curve and finds an optimal solution to the given problem or setup. Our solution to this problem can then be used for the design and layout of a IPS or even for steering and operation.
The simulation of a smoothed curve is also the baseline for p7.control, which shares the optimisation algorithm.
As an operating system (OS) it controls the charging and discharging of the primary Li-Ion battery, secondary batteries as well as the control of generators, fuel cells, power-to-gas or power-to-heat plants.
Data of p7.control is fed back for further forecasting and optimisation by the use of self-learning adjustments.
p7.analytic takes into account all relevant technical and electrochemical properties of a storage technology. These include eg. the rapid charging and discharging ability (C-rate), life-time (cycle stability and calendar life-time) and energy charging efficiency of a specific battery technology. All of these factors are in complex dependencies to other factors (depth of discharge/DoD, state of charge/SoC, state of health/SoH, temperature range) and also linked to each other.
Depending on the individual power curve and further specific assumptions from the customer p7.analytic finds a real custom tailors system design with the best fit technologies. With an economic framework the software calculates and maximises the reliability and the economic benefit of the power management system.