Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop ApproachReportar como inadecuado


Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach


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National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China





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Abstract Battery peak power capability estimations play an important theoretical role for the proper use of the battery in electric vehicles. To address the failures in relaxation effects and real-time ability performance, neglecting the battery’s design limits and other issues of the traditional peak power capability calculation methods, a new approach based on the dynamic electrochemical-polarization EP battery model, taking into consideration constraints of current, voltage, state of charge SoC and power is proposed. A hardware-in-the-loop HIL system is built for validating the online model-based peak power capability estimation approach of batteries used in hybrid electric vehicles HEVs and a HIL test based on the Federal Urban Driving Schedules FUDS is used to verify and evaluate its real-time computation performance, reliability and robustness. The results show the proposed approach gives a more accurate estimate compared with the hybrid pulse power characterization HPPC method, avoiding over-charging or over-discharging and providing a powerful guarantee for the optimization of HEVs power systems. Furthermore, the HIL test provides valuable data and critical guidance to evaluate the accuracy of the developed battery algorithms. View Full-Text

Keywords: electrochemical-polarization model; peak power capability; lithium-ion battery; hybrid electric vehicles; hardware-in-loop electrochemical-polarization model; peak power capability; lithium-ion battery; hybrid electric vehicles; hardware-in-loop





Autor: Rui Xiong * , Hongwen He * , Fengchun Sun and Kai Zhao

Fuente: http://mdpi.com/



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