State of Energy Estimation Based on AUKF for Lithium Battery Used on Pure Electric Vehicle
2012 ◽
Vol 608-609
◽
pp. 1627-1630
Keyword(s):
State of Energy can be used to predict the driving mileage of electric vehicles, design the control strategy of vehicle energy distribution, and improve the safety of electric vehicle. Accurate estimaion of state of energy is one of the key technologies in the study on battery management system of electric vehicle. In this paper, the State of Energy is estimated by using Unscented Kalman Filter, while the process noise and measurement noise is adjusted by using the Sage-Husa adaptive algorithm, as a result the estimation accuracy is improved. The result shows that the State of Energy estimation by using Adaptive Unscented Kalman Filter algorithm is satisfactory to electric vehicle.
2014 ◽
Vol 945-949
◽
pp. 1500-1506
Keyword(s):
2017 ◽
Vol 2017
◽
pp. 1-10
◽
2020 ◽
Vol 38
(2)
◽
pp. 359-365
2014 ◽
Vol 651-653
◽
pp. 1064-1067
2015 ◽
Vol 8
(2)
◽
pp. 316-322
◽
2021 ◽
Vol 23
(06)
◽
pp. 805-815