TY - JOUR
T1 - State and parameter estimation based on a modified particle filter for an in-wheel-motor-drive electric vehicle
AU - Zhu, Junjun
AU - Wang, Zhenpo
AU - Zhang, Lei
AU - Zhang, Wenliang
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/3
Y1 - 2019/3
N2 - This paper presents a modified particle filter (MPF) to estimate vehicle states and parameter with high precision and robustness under complex noises and sensor fault conditions. To deal with the particle impoverishment issue, the vector particle swarm of the multivariable system is separated into univariate particle swarms, which are diversified with the selection, crossover and mutation operations of the genetic algorithm (GA) while maintaining the mean value and enlarging the standard deviation. The effectiveness of the proposed estimation scheme is verified under the scenarios of the stochastic and needling noises and acceleration sensor faults through the Carmaker-Simulink joint simulations based on typical maneuvers, outperforming the commonly-used vehicle state estimators including the unscented Kalman filter (UKF) and the unscented particle filter (UPF).
AB - This paper presents a modified particle filter (MPF) to estimate vehicle states and parameter with high precision and robustness under complex noises and sensor fault conditions. To deal with the particle impoverishment issue, the vector particle swarm of the multivariable system is separated into univariate particle swarms, which are diversified with the selection, crossover and mutation operations of the genetic algorithm (GA) while maintaining the mean value and enlarging the standard deviation. The effectiveness of the proposed estimation scheme is verified under the scenarios of the stochastic and needling noises and acceleration sensor faults through the Carmaker-Simulink joint simulations based on typical maneuvers, outperforming the commonly-used vehicle state estimators including the unscented Kalman filter (UKF) and the unscented particle filter (UPF).
KW - Genetic algorithm
KW - In-wheel-motor-drive electric vehicle
KW - Modified particle filter
KW - State and parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=85058516882&partnerID=8YFLogxK
U2 - 10.1016/j.mechmachtheory.2018.12.008
DO - 10.1016/j.mechmachtheory.2018.12.008
M3 - Article
AN - SCOPUS:85058516882
SN - 0094-114X
VL - 133
SP - 606
EP - 624
JO - Mechanism and Machine Theory
JF - Mechanism and Machine Theory
ER -