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Battery autonomy and drive range of Electric Vehicles could be improved by smart control of the power flows requested by equipped systems. In this paper, the authors propose two energy-saving strategies, acting respectively in the electric driveline consumption minimization and in the auxiliary power allocation policy. Developed solutions aim at the reduction of the power demand, both concerning e-powertrain and sub-components, not directly related to traction purpose, enhancing corresponding driveability distance. Evaluation of the result is done through a model-based approach, using a concept e-car proposed by Valeo and implemented in a co-simulation environment, between Amesim and Simulink. The investigated methodology appears as a useful tool for the optimal design of the vehicle sub-system and component.

Energy Consumption of Auxiliary Systems on electric vehicles has an important role in reducing the overall autonomy since their contribution especially for what concern HVAC Systems is often not negligible and not correlated to vehicle kinematics. In this work authors propose a quite simple architecture to adopt an intelligent management of on board loads in order to increase the level of correlation between vehicle dynamics and applied auxiliary loads in order to smooth the overall power demand for vehicle storage system which is should be stressed by transients in which both traction and auxiliary loads are applied at the same time.

The software-in-the-loop and hardware-in-the-loop tests of a battery management system require a real-time compatible electro-thermal battery pack model. In our study, a numerically complex electrochemical-thermal model has been characterized from experimental data of a nickel-rich, silicon-graphite 18650-type lithium-ion cell. While it accurately represents the electro-thermal battery behavior, it is hardly suitable for real-time application due to its intensively numerical solving effort and related calculation time if no huge numerical efforts are applied to reduce the model. The objective of this paper is to present a simple method to derive a reduced-order electro-thermal cell model from the complex electrochemical-thermal cell model and build a real-time compatible battery pack model with the reduced-order cell model.

Application of regenerative braking on electric vehicles has to be carefully optimized in order to maximize the system efficiency, maintaining high performance and reliability levels that are required by the automotive sector. Considering complex interactions arising from the interaction of electric brake plant with vehicle dynamics and other on-board sub-systems, there is the necessity of modular scalable models able to merge multiple competences and different engineering tools, aimed at performing accurate simulation activities. In this work authors present some preliminary results concerning the implementation of a model in which the potentialities of co-simulation between different environment are exploited.