scholarly journals An Adaptive Stochastic Model Predictive Control Strategy for Plug-in Hybrid Electric Bus During Vehicle-Following Scenario

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 13887-13897 ◽  
Author(s):  
Zesong Pu ◽  
Xiaohong Jiao ◽  
Chao Yang ◽  
Shengnan Fang
Keyword(s):  
Model Predictive Control ◽  
Stochastic Model ◽  
Predictive Control ◽  
Control Strategy ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Hybrid Electric ◽  
Stochastic Model Predictive Control

scholarly journals A Stochastic Model Predictive Control Strategy for Extended Range Electric Vehicle

2016 ◽  
Vol 88 ◽  
pp. 833-839
Author(s):  
Wenwei Wang ◽  
Quanqing Yu ◽  
Dongjiang Cao ◽  
Cheng Lin ◽  
Fengchun Sun
Keyword(s):  
Model Predictive Control ◽  
Stochastic Model ◽  
Electric Vehicle ◽  
Predictive Control ◽  
Control Strategy ◽  
Extended Range ◽  
Stochastic Model Predictive Control

Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses

2016 ◽  
Vol 162 ◽  
pp. 868-879 ◽  
Author(s):  
Liang Li ◽  
Sixiong You ◽  
Chao Yang ◽  
Bingjie Yan ◽  
Jian Song ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Stochastic Model ◽  
Predictive Control ◽  
Driving Behavior ◽  
Hybrid Electric ◽  
Stochastic Model Predictive Control

A Stochastic Model Predictive Control Approach for Hybrid Electric Vehicle Energy Management With Road Grade Preview

2014 ◽  
Author(s):  
Xiangrui Zeng ◽  
Junmin Wang
Keyword(s):  
Model Predictive Control ◽  
Stochastic Model ◽  
Electric Vehicle ◽  
Energy Management ◽  
Predictive Control ◽  
Hybrid Electric Vehicle ◽  
The Road ◽  
Road Grade ◽  
Hybrid Electric ◽  
Stochastic Model Predictive Control

Road grade preview can benefit the hybrid electric vehicle (HEV) energy management because the energy efficiency performance degrades significantly when the battery state of charge (SOC) reaches its boundaries and the road grade has a great influence on the battery SOC balance. In reality the road grade in front may be a random variable as the future route may not always be known to the vehicle controller. This paper proposes a stochastic model predictive control (MPC) approach which does not require a determined route known in advance. The road grade is modeled as a Markov chain and all the possible future routes are considered in building the transition matrix. A large-time-scale HEV energy consumption model is built. The HEV energy management problem is formulated as a finite-horizon Markov decision process and solved using stochastic dynamic programming (SDP). Simulation results show that the proposed approach can prevent the battery SOC from reaching its boundaries and maintain good fuel efficiency by the stochastic road grade preview.

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