Energies 2012, 5(5), 1455-1469; doi:10.3390/en5051455
Article

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

National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
* Authors to whom correspondence should be addressed.
Received: 5 April 2012; in revised form: 9 May 2012 / Accepted: 11 May 2012 / Published: 15 May 2012
(This article belongs to the Special Issue Vehicle to Grid)
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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.
Keywords: electrochemical-polarization model; peak power capability; lithium-ion battery; hybrid electric vehicles; hardware-in-loop

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MDPI and ACS Style

Xiong, R.; He, H.; Sun, F.; Zhao, K. Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach. Energies 2012, 5, 1455-1469.

AMA Style

Xiong R, He H, Sun F, Zhao K. Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach. Energies. 2012; 5(5):1455-1469.

Chicago/Turabian Style

Xiong, Rui; He, Hongwen; Sun, Fengchun; Zhao, Kai. 2012. "Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach." Energies 5, no. 5: 1455-1469.

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