TY  - JOUR
PY  - 2014//
TI  - The effects of driver speed prediction-based battery management system on Li-ion battery performance for electric vehicles
JO  - Proceedings of the Human Factors and Ergonomic Society annual meeting
A1  - Wan, Jingyan
A1  - Wu, Changxu
SP  - 515
EP  - 519
VL  - 58
IS  - 1
N2  - The electric vehicle (EV) technologies have received great attention due to the potential contributions to reducing emissions and energy consumption. The relatively short travel distance and battery lifetime of EV are major concerns for consumers. It is suggested that driver behavior plays important role in determining EV battery's electric current and heat generation, which have effects on travel distance of EV and its battery lifetime. To address this problem, the current work proposes a Driver Speed Prediction-Based Battery Management System (P-BMS). P-BMS is able to innovatively predict both electric current and temperature of EV battery based on driver behavior, proactively manage and control both electric current and temperature level of the EV battery in order to minimize energy consumption and maximize both travel distance of EV and EV battery lifetime. <br><br>RESULTS suggest that P-BMS can significantly reduce energy, extend travel distance in one charge and prolong EV battery lifetime.<p />  <p>Language: en</p>
LA  - en
SN  - 2169-5067
UR  - http://dx.doi.org/10.1177/1541931214581107
ID  - ref1
ER  -