A comparative investigation of a rule based energy management algorithm for hybrid electric vehicles

Author(s):  
A. M. Ali ◽  
H. M. Kamel ◽  
A. M. Sharaf ◽  
S. A. Hegazy
2020 ◽  
Vol 10 (23) ◽  
pp. 8744
Author(s):  
Juan P. Torreglosa ◽  
Pablo Garcia-Triviño ◽  
David Vera ◽  
Diego A. López-García

The hybridization of vehicles is a viable step toward overcoming the challenge of the reduction of emissions related to road transport all over the world. To take advantage of the emission reduction potential of hybrid electric vehicles (HEVs), the appropriate design of their energy management systems (EMSs) to control the power flow between the engine and the battery is essential. This work presents a systematic literature review (SLR) of the more recent works that developed EMSs for HEVs. The review is carried out subject to the following idea: although the development of novel EMSs that seek the optimum performance of HEVs is booming, in the real world, HEVs continue to rely on well-known rule-based (RB) strategies. The contribution of this work is to present a quantitative comparison of the works selected. Since several studies do not provide results of their models against commercial RB strategies, it is proposed, as another contribution, to complete their results using simulations. From these results, it is concluded that the improvement of the analyzed EMSs ranges roughly between 5% and 10% with regard to commercial RB EMSs; in comparison to the optimum, the analyzed EMSs are nearer to the optimum than commercial RB EMSs.


2015 ◽  
Vol 4 (1) ◽  
pp. 178-189 ◽  
Author(s):  
Daniel Goerke ◽  
Michael Bargende ◽  
Uwe Keller ◽  
Norbert Ruzicka ◽  
Stefan Schmiedler

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5538
Author(s):  
Bảo-Huy Nguyễn ◽  
João Pedro F. Trovão ◽  
Ronan German ◽  
Alain Bouscayrol

Optimization-based methods are of interest for developing energy management strategies due to their high performance for hybrid electric vehicles. However, these methods are often complicated and may require strong computational efforts, which can prevent them from real-world applications. This paper proposes a novel real-time optimization-based torque distribution strategy for a parallel hybrid truck. The strategy aims to minimize the engine fuel consumption while ensuring battery charge-sustaining by using linear quadratic regulation in a closed-loop control scheme. Furthermore, by reformulating the problem, the obtained strategy does not require the information of the engine efficiency map like the previous works in literature. The obtained strategy is simple, straightforward, and therefore easy to be implemented in real-time platforms. The proposed method is evaluated via simulation by comparison to dynamic programming as a benchmark. Furthermore, the real-time ability of the proposed strategy is experimentally validated by using power hardware-in-the-loop simulation.


Author(s):  
Carlos Villarreal-Hernandez ◽  
Javier Loranca-Coutino ◽  
Omar F. Ruiz-Martinez ◽  
Jonathan C. Mayo-Maldonado ◽  
Jesus E. Valdez-Resendiz ◽  
...  

2014 ◽  
Vol 15 (3) ◽  
pp. 1145-1154 ◽  
Author(s):  
Viktor Larsson ◽  
Lars Johannesson Mardh ◽  
Bo Egardt ◽  
Sten Karlsson

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