Discover our unique and patented simulation kernel


Multimodal simulation technology

Our technology simulates the autonomy of a system by taking into account the entire system, its operation, its consumption, as well as the non-linearities of its power source(s).

Adaptative algorithms

Several "scheduling" algorithms adapt the simulation performance (speed, accuracy, etc.) as a function of the degree of nonlinearity of the modeled system.

Our results are based on a unique virtual prototyping technology that gathers the results of more than 15 years of scientific research at the Computer Science Laboratory of UPMC. It is patented internationally.

Our technology has been experimentally validated with more than 200 experimentation within several environment configurations and has been tested with an independent laboratory in Sweden (SICS).

Our technology takes into account the impact of battery aging on the battery life of your device.

Batteries have a non-linear behavior which changes depending on various factor (temperature, technology used, form factor, residual energy, aging, etc.). Their behavior when they are half empty differs from when they are completely full. As a consequence, it is difficult to assess their behaviour. Our models take into account the battery chemistry, their technical specifications as well as their internal impedance, recovering effects, aging and supply voltage variations.

See our list of modeled batteries here.

Battery life relies on the electronic components that make the hardware of the device.

It is important to consider every components that are embedded on a device to estimate its battery life. In addition, their individual behaviour must be taken into account. Our technology relies on a specific modeling process that allow us to reach a good accuracy both on the component functions and on its non-functionnal characteristics (power consumption variation, temperature range).

See our list of modeled components here.

The first technology that can estimate the impact of software on battery life before a first prototype.

The software used in a system impacts the way components are used, hence their consumption and as a consequence its battery life. The time distribution of software activity (the time spent in each state or function of the software), which the developer can estimate, is often quite different from the distribution of consumption (the energy consumed in each of these states or function). This distribution of consumption is difficult to access because it requires the use of measuring tools. Hence it is difficult for the developer to estimate the energy consumption of the various software functions.

Temperature has a significant impact on battery and hardware behavior.

Batteries are very sensitive to temperature. The available energy that they can deliver depends from several factor and temperature is one of them. In addition, every battery chemistry has its own way of reacting to temperature variation. Our models are considering this element allowing you to figure out your device behaviour on specific environment conditions.

Communications can have a significant impact on your battery life.

The technology that will be implemented in your device as well as your communication strategy are mandatory to consider in order to have accurate estimation results. As a consequence, our technology allow you to consider both the technology (Sigfox, Lora, BLE, etc.) and the way your device will use it to send data.


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