Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management

@article{Williams2018RealTimeSP,
  title={Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management},
  author={Kyle Williams},
  journal={ArXiv},
  year={2018},
  volume={abs/1804.08766}
}
Williams, Kyle R. Ph.D., Purdue University, May 2018. Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management. Major Professor: Monika Ivantysynova, School of Mechanical Engineering. This work presents three computational methods for real time energy management in a hybrid hydraulic vehicle (HHV) when driver behavior and vehicle route are not known in advance. These methods, implemented in a receding horizon control (aka model predictive control) framework, are rather… CONTINUE READING
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