Diffusion of electric and hybrid vehicles is accelerating the development of innovative braking technologies. Calibration of accurate models of a hydraulic brake plant involves availability of large amount of data whose acquisition is expensive and time consuming. Also, for some applications, such as vehicle simulators and hardware in the loop test rig, a real-time implementation is required. To avoid excessive computational loads, usage of simplified parametric models is almost mandatory. In this work, authors propose a simplified functional approach to identify and simulate the response of a generic hydraulic plant with a limited number of experimental tests. To reproduce complex nonlinear behaviours that are difficult to be reproduced with simplified models, piecewise transfer functions with scheduled poles are proposed. This innovative solution has been successfully applied for the identification of the brake plant of an existing vehicle, a Siemens prototype of instrumented vehicle called SimRod, demonstrating the feasibility of proposed method.
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.
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