Optimization on Energy Management Strategy with Vibration Control for Hybrid Vehicles

2020 ◽  
pp. 129-135
Author(s):  
Yifan Wei ◽  
Yuning Wang ◽  
Zhichao Hou
Keyword(s):  
Vibration Control ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Vehicles ◽  
Energy Management Strategy

Receding Horizon Real-Time Energy Management Strategy for Hybrid Vehicles

2013 ◽  
Author(s):  
Bram de Jager ◽  
Thijs van Keulen
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Vehicles ◽  
State Control ◽  
Energy Management Strategy ◽  
Receding Horizon ◽  
Fuel Use ◽  
Commodity Hardware ◽  
The Future

Indirect optimal control and dynamic programming are combined in a receding horizon controller to obtain an energy management strategy for hybrid vehicles. This combination permits the use of inaccurate predictions of the future, instead of requiring exact knowledge, and allows the use of mixed state-control constraints, like voltage constraints for batteries. The controller can run in real-time on commodity hardware and, using a prediction of the future based on geographic information only, obtains a fuel use within 0.2% of the optimal fuel use computed with the exact speed and power trajectory of the vehicle known in advance. All this for a planned distance of more than 500 [km].

An online energy management strategy for fuel cell hybrid vehicles

2021 ◽  
Author(s):  
Yu Zhang ◽  
Ming Chen ◽  
Shuo Cai ◽  
Shengyan Hou ◽  
Hai Yin ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Cell Hybrid ◽  
Management Strategy ◽  
Hybrid Vehicles ◽  
Energy Management Strategy ◽  
Fuel Cell Hybrid

Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin's Minimal Principle

2019 ◽  
Vol 440 ◽  
pp. 227105 ◽  
Author(s):  
Xiyun Li ◽  
Yujie Wang ◽  
Duo Yang ◽  
Zonghai Chen
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Vehicles ◽  
Energy Management Strategy

scholarly journals Energy Management Strategy for Fuel Cell and Battery Hybrid Vehicle Based on Fuzzy Logic

Processes ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 882
Author(s):  
Dongxu Li ◽  
Bing Xu ◽  
Jie Tian ◽  
Zheshu Ma
Keyword(s):  
Fuzzy Logic ◽  
Fuel Cell ◽  
Energy Management ◽  
Fuel Economy ◽  
Cell Hybrid ◽  
Management Strategy ◽  
Hybrid Vehicle ◽  
Hybrid Vehicles ◽  
Energy Management Strategy ◽  
Fuel Cell Hybrid

In order to improve fuel economy and enhance operating efficiency of fuel cell hybrid vehicles (FCHVs), fuzzy logic control (FLC) strategies are available and suggested for adoption. In this paper, the powertrain of a fuel cell hybrid vehicle is designed and the parameters of the motor, battery, and fuel cell are calculated. The FLC strategy and the power following control (PFC) strategy are designed for the studied FCHV. A secondary development for Advanced Vehicle Simulator (ADVISOR) is implemented based on the standard driving cycles, and a Chinese typical city driving cycle is imported. Simulation results demonstrate that the proposed FLC strategy is more valid and reasonable than the traditional PFC strategy. The proposed FLC strategy affects the vehicle characteristics significantly and contributes to better performance in four aspects: fuel economy, efficiency of battery and fuel cell system, battery state of charge (SOC), and battery life. Hence, the FLC strategy is more suitable for the energy management strategy for fuel cell and battery hybrid vehicles.

scholarly journals Energy Management Strategy Implementation for Hybrid Electric Vehicles Using Genetic Algorithm Tuned Pontryagin’s Minimum Principle Controller

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Aishwarya Panday ◽  
Hari Om Bansal
Keyword(s):  
Genetic Algorithm ◽  
Energy Management ◽  
Management Strategy ◽  
Minimum Principle ◽  
Hybrid Vehicles ◽  
State Of Charge ◽  
Energy Management Strategy ◽  
Power Split ◽  
Hybrid Electric ◽  
State Of Charge Estimation

To reduce apace extraction of natural resources, to plummet the toxic emissions, and to increase the fuel economy for road transportation, hybrid vehicles are found to be promising. Hybrid vehicles use batteries and engine to propel the vehicle which minimizes dependence on liquid fuels. Battery is an important component of hybrid vehicles and is mainly characterized by its state of charge level. Here a modified state of charge estimation algorithm is applied, which includes not only coulomb counting but also open circuit voltage, weighting factor, and correction factor to track the run time state of charge efficiently. Further, presence of battery and engine together needs a prevailing power split scheme for their efficient utilization. In this paper, a fuel efficient energy management strategy for power-split hybrid electric vehicle using modified state of charge estimation method is developed. Here, the optimal values of various governing parameters are firstly computed with genetic algorithm and then fed to Pontryagin’s minimum principle to decide the threshold power at which engine is turned on. This process makes the proposed method robust and provides better chance to improve the fuel efficiency. Engine efficient operating region is identified to operate vehicle in efficient regions and reduce fuel consumption.

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