In this feasibility study, we will design circuits and system simulations that enable OptiJoule, a smarter energy harvesting power management IC device, to **adapt autonomously** to any type of harvester connected to it, maximising energy capture. The project will study novel methodologies to locate the maximum power point (MPP) and track it (MPPT) for all harvester types. Typical MPPT algorithms require prior knowledge of the harvester; OptiJoule will achieve this autonomously with no prior information on the harvester type.

We are developing HarvestAll, a patent protected portfolio of energy management integrated circuits (EMICs) that will connect to energy harvesters to create micro energy harvesting systems. An industry term for such systems is autonomous micro energy sources (AMES). These are a must-have to deploying battery-free "self-sustaining" sensors. AMES are key to realising the forecasted trillion interconnected sensors within the Internet of Things (IoT), that would otherwise be restricted by the limitations of current energy solutions. Along with energy harvesters and energy storage, the major component in AMES is an EMIC. The key technical challenges are that each type of energy-harvester has very different electrical characteristics and that the availability of ambient energy fluctuates over time. To provide reliable AMES operation and enable battery-free self-sustaining sensors, an EMIC is required that can effectively manage the energy from any harvester type. No such EMIC exists today.

Trameto plans to develop a proof-of-concept of innovative power management circuits for autonomous micro energy-harvesting systems (AMES). Such a system will scavenge µW to mW of ambient energy from multiple and distinct sources such as indoor light, thermal gradients and vibration to eliminate batteries from wireless sensor nodes in the IoT. Each energy source has widely different electrical characteristics. This will require innovative multi-source power management to enable effective AMES operation across varying operating conditions. In order to achieve best in class performance, Trameto will collaborate with the University of Exeter who will develop novel control systems to optimise AMES performance.

In this global cooperation feasibility study Trameto, an innovative developer of micro energy harvesting power management solutions, will attend the Energy Harvesting USA 2016 exhibition and the Consumer Electronics Show 2017; to build enduring alliances with vendors of complementary technology and to create commercial partnerships with OEMs and end users of autonomous wireless devices within the internet-of-things.

In this global cooperation feasibility study Trameto, an innovative developer of micro energy harvesting platforms, will attend the Consumer Electronics Show 2017 and the IoT Evolution Expo; to build enduring alliances with vendors of transducer technology and to create commercial partnerships with system integrators and end users of autonomous wireless devices within the internet-of-things.