== Abstract ==

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In this paper, a novel high level control-management strategy and architecture for plug-in hybrid complex hybrid vehicles energy consumption optimization and vehicle dynamics improvements is presented. A virtual Hardware in the Loop strategy is used for Vehicle Framework modelling, ensuring a high fidelity forward vehicle model. The propulsion architecture consists of a combination of two electric motor based e-drives and one Internal Combustion Engine (ICE). One e-motor is coupled with the ICE at the front axle by means of a modified belt system while the other one powers the rear axle through an integrated single speed transmission with disconnect. This architecture allows multiple operation modes: combinations of serial/parallel/split hybridization and full electric, providing e-4WD capability. Hybrid control strategies combining heuristic methods and optimization techniques are proposed to manage the power distribution between the Internal Combustion Engine and the electrical machine. In addition, an electronic horizon consisting of a smart energy management algorithm to enable predictive control hybrid strategies is presented. This uses information from vehicle sensors together with web services to extract information like traffic, weather, route inclination etc. All the information is used a-priori to optimize the energy management by using the best hybrid powertrain strategy and/or control large power electrical loads.

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== Original document ==

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The different versions of the original document can be found in:

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* [https://zenodo.org/record/1486550 https://zenodo.org/record/1486550] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

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DOIS: 10.5281/zenodo.1486549 10.5281/zenodo.1486550

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