Invention Grant
US09321368B2 Multi-step model predictive iterative techniques for battery system peak power estimation
有权
电池系统峰值功率估计的多步骤模型预测迭代技术
- Patent Title: Multi-step model predictive iterative techniques for battery system peak power estimation
- Patent Title (中): 电池系统峰值功率估计的多步骤模型预测迭代技术
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Application No.: US14463027Application Date: 2014-08-19
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Publication No.: US09321368B2Publication Date: 2016-04-26
- Inventor: Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
- Applicant: Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
- Applicant Address: US MI Auburn Hills CA Ontario
- Assignee: FCA US LLC,McMaster University
- Current Assignee: FCA US LLC,McMaster University
- Current Assignee Address: US MI Auburn Hills CA Ontario
- Agent Ralph E. Smith
- Main IPC: B60L11/18
- IPC: B60L11/18 ; G01R31/36 ; G05B13/04 ; B60L15/20

Abstract:
An electrified vehicle and method for estimating peak power of a battery system of the electrified vehicle are presented. In one exemplary implementation, the method includes receiving, at a controller of the electrified vehicle, measured current, voltage, and temperature of the battery system and determining, at the controller, operating parameters for the battery system based on the measured current, voltage, and temperature. An initial peak current at a start of a current prediction period for the battery system is determined, at the controller, based on the operating parameters, and an instantaneous peak current of the battery system is determined based on its initial peak current by performing voltage-limited extrapolation of resistances and open-circuit voltage (VLERO) of a battery model for the battery system. The battery system and an electric motor of the electrified vehicle are controlled, by the controller, based on the instantaneous peak current.
Public/Granted literature
- US20160052418A1 MULTI-STEP MODEL PREDICTIVE ITERATIVE TECHNIQUES FOR BATTERY SYSTEM PEAK POWER ESTIMATION Public/Granted day:2016-02-25
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