Abstract—Currently, designing low power complex embedded systems is a main challenge for corporations in a large number of electronic domains. There are multiple motivations which lead designers to consider low power design such as increasing lifetime, improving battery longevity, limited battery capacity, and temperature constraints, etc. Unfortunately, there is a lack of efficient methodology and accurate tool to obtain power/energy estimation of a complete system at different abstraction levels. This paper presents a global framework for power/energy estima-tion and optimization of heterogeneous MultiProcessor System on Chip (MPSoC). Within this framework, a power modeling methodology is defined and an open platform is developed. Our methodology takes into account all the embedded system relevant aspects; the software, the hardware, and the operating system. The platform stands for Open Power and Energy Optimization PLatform and Estimator (OPEN-PEOPLE). It includes diverse estimation tools with respect to their abstraction levels in order to cover the overall design flow. Starting from functional esti-mation and down to real boards measurements, our platform helps designers to develop new power models, to explore new architectures, and to apply optimization techniques in order to reduce energy and power consumption of the system. The usefulness and the effectiveness of the proposed power estimation framework are demonstrated through a typical embedded system conceived around the Xilinx Virtex II Pro FPGA platform. Index Terms—MPSoC, power modeling, system level estima-tion I.