Optimal component sizing for a parallel hybrid bus based on dynamic programming

2014 ◽  
Author(s):  
Wei Gao ◽  
Yuan Zou ◽  
Fengchun Sun
Keyword(s):  
Dynamic Programming ◽  
Component Sizing ◽  
Parallel Hybrid ◽  
Hybrid Bus

Comparison of the Fuel Economy of Series and Parallel Hybrid Bus System Using Dynamic Programming

2013 ◽  
Vol 21 (1) ◽  
pp. 92-98 ◽  
Author(s):  
Jongryeol Jeong ◽  
Daeheung Lee ◽  
Changwoo Shin ◽  
Daebong Jeong ◽  
Kyoungdoug Min ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Fuel Economy ◽  
Parallel Hybrid ◽  
Hybrid Bus ◽  
Bus System

Efficiency improvement of a novel dual motor powertrain for plug-in hybrid electric buses

2020 ◽  
Vol 234 (7) ◽  
pp. 1869-1882 ◽  
Author(s):  
Cong Thanh Nguyen ◽  
Paul D Walker ◽  
Nong Zhang ◽  
Jiageng Ruan
Keyword(s):  
Dynamic Programming ◽  
Vehicle Speed ◽  
Efficiency Improvement ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Single Motor ◽  
Driving Cycles ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Powertrain Configuration

Powertrain configuration plays an important role in the performance of plug-in hybrid electric buses. Current designs are the compromise between energy efficiency, dynamic ability, shifting smoothness and manufactural cost. To balance the above requirements, this research proposes a novel dual motor powertrain for plug-in hybrid electric buses. The efficiency improvement is compared to the conventional plug-in parallel hybrid electric buses with a single motor powertrain. Parameter designs of system components guarantee two configurations equivalently. To maximize the benefits of the proposed powertrain, this paper introduces an energy management strategy which coordinates enumeration method and dynamic programming to build the optimal maps of powertrain operation. The enumeration method determines the working points of power sources and gear states in all possible modes according to vehicle speed and power. The dynamic programming then selects the most suitable mode with the consideration of gear shifting and mode change in the optimal maps. Simulation results show that the dual motors work in peak efficiency region much more frequently than the single motor in different conditions. Therefore, the total energy cost of dual motor powertrain for entire driving cycles decreases significantly in comparison with the single motor powertrain, 6.5% in the LA92 and 6.7% in the Urban Dynamometer Driving Schedule.

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