Abstract Compared with real-time control, global optimization has a great advantage to improve the fuel economy due to considering the whole drive condition in advance. However, on-board controller doesn’t support the global optimization with a large amount of calculation. Remote data communicating technology provides a platform to make global optimization applied to on-board control at a pre-known driving cycle. In this paper, a route-based optimal control strategy for the real-time energy management of parallel hybrid electric vehicles is developed. The proposed control strategy employs computers to optimize the power-split and engine stop-start control based on the minimum principle at a predicted driving cycle. Guiding controller provides real-time control with CAN bus communication. The experiment results prove the proposed strategy has a 10% fuel economy improvement than rule-based control strategy.
Route-based adaptive optimization for energy management of hybrid electric vehicles
International Journal of Automotive Technology ; 15 , 7 ; 1175-1182
2014-11-26
8 pages
Article (Journal)
Electronic Resource
English
Route-based adaptive optimization for energy management of hybrid electric vehicles
British Library Online Contents | 2014
|Route-based adaptive optimization for energy management of hybrid electric vehicles
Online Contents | 2014
|Commuter Route Optimized Energy Management of Hybrid Electric Vehicles
Online Contents | 2014
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