Implementation of comfort constraints in dynamic programming for hybrid vehicle energy management

2012 ◽  
Vol 58 (2/3/4) ◽  
pp. 367 ◽  
Author(s):  
Maxime Debert ◽  
Thomas Miro Padovani ◽  
Guillaume Colin ◽  
Yann Chamaillard ◽  
Lino Guzzella
Keyword(s):  
Dynamic Programming ◽  
Energy Management ◽  
Hybrid Vehicle

Approximate Stochastic Differential Dynamic Programming for Hybrid Vehicle Energy Management

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Kyle Williams ◽  
Monika Ivantysynova
Keyword(s):  
Dynamic Programming ◽  
Real Time ◽  
Energy Management ◽  
Environmental Protection Agency ◽  
Dynamic Programming Algorithm ◽  
Hybrid Vehicle ◽  
Programming Algorithm ◽  
Differential Dynamic Programming ◽  
Hydraulic Hybrid ◽  
Behavior Learning

This paper develops a new computational approach for energy management in a hydraulic hybrid vehicle. The developed algorithm, called approximate stochastic differential dynamic programming (ASDDP) is a variant of the classic differential dynamic programming algorithm. The simulation results are discussed for two Environmental Protection Agency drive cycles and one real world cycle based on collected data. Flexibility of the ASDDP algorithm is demonstrated as real-time driver behavior learning, and forecasted road grade information are incorporated into the control setup. Real-time potential of ASDDP is evaluated in a hardware-in-the-loop (HIL) experimental setup.

Computational reduction of optimal hybrid vehicle energy management

2020 ◽  
pp. 1-1
Author(s):  
Carlos Armenta ◽  
Sebastien Delprat ◽  
Rudy R. Negenborn ◽  
Ali Haseltalab ◽  
Jimmy Lauber ◽  
...  
Keyword(s):  
Energy Management ◽  
Hybrid Vehicle ◽  
Computational Reduction

Predictive Energy Management for Parallel Hydraulic Hybrid Passenger Vehicle

2010 ◽  
Author(s):  
Timothy O. Deppen ◽  
Andrew G. Alleyne ◽  
Kim A. Stelson ◽  
Jonathan J. Meyer
Keyword(s):  
Energy Management ◽  
Hybrid Vehicle ◽  
Management Problem ◽  
Transfer Energy ◽  
Hybrid Powertrain ◽  
Engine Torque ◽  
Engine Simulation ◽  
Hydraulic Hybrid ◽  
Displacement Pump ◽  
Hydraulic Hybrid Vehicle

In this paper, a model predictive control (MPC) approach is presented for solving the energy management problem in a parallel hydraulic hybrid vehicle. The hydraulic hybrid vehicle uses variable displacement pump/motors to transfer energy between the mechanical and hydraulic domains and a high pressure accumulator for energy storage. A model of the parallel hydraulic hybrid powertrain is presented which utilizes the Simscape/Simhydraulics toolboxes of Matlab. These toolboxes allow for a concise description of the relevant powertrain dynamics. The proposed MPC regulates the engine torque and pump/motor displacement in order to track a desired velocity profile while maintaining desired engine conditions. In addition, logic is applied to the MPC to prevent high frequency cycling of the engine. Simulation results demonstrate the capability of the proposed control strategy to track both a desired engine torque and vehicle velocity.

Hybrid-Trip-Model-Based Energy Management of a PHEV With Computation-Optimized Dynamic Programming

2018 ◽  
Vol 67 (1) ◽  
pp. 338-353 ◽  
Author(s):  
Jichao Liu ◽  
Yangzhou Chen ◽  
Wei Li ◽  
Fei Shang ◽  
Jingyuan Zhan
Keyword(s):  
Dynamic Programming ◽  
Energy Management ◽  
Model Based
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