Energy Control Strategy of HEB Based on the Instantaneous Optimization Algorithm Article Swipe
Dapai Shi
,
Liang Chu
,
Jianhua Guo
,
Guangdong Tian
,
Yixiong Feng
,
Zhiwu Li
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/access.2017.2742142
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/access.2017.2742142
In order to solve the problems of high gas consumption and low battery power in hybrid electric buses, the logic threshold control strategy is optimized by the key technology research of driving conditions, control strategy, and so on. First, driving condition data of hybrid electric buses are collected and analyzed, and three typical working conditions are selected. Second, the torque distribution control strategy is investigated based on the instantaneous optimization algorithm. The objective function of the instantaneous equivalent fuel consumption is derived. The process of solving the objective function is attributed to linear programming problem of the nonlinear objective function. The SIMULINK model of instantaneous torque distribution strategy is established based on equivalent fuel consumption. On this basis, the SIMULINK model of the function which can be integrated into the vehicle control model is established. Then, considering the actual driving conditions of the bus, the vehicle control strategy model is established in the MATLAB/SIMULINK environment, and the vehicle model established by the cruise software. Finally, the vehicle model is simulated under three representative working conditions. The main contribution of this paper is the optimized torque distribution control strategy to control hybrid electric bus's energy distribution and reduce emissions. The strategy can be obtained by combining the logic threshold torque distribution control strategy, along with the optimal engine torque and motor torque, which can be obtained by solving the objective function of instantaneous equivalent fuel consumption. Results show that compared with the logic threshold value torque distribution control strategy, the energy control strategy of the instantaneous optimization algorithm can further reduce gas consumption and maintain the state of charge value balance of the power battery.
Related Topics
Concepts
Torque
Computer science
Fuel efficiency
MATLAB
Control theory (sociology)
Automotive engineering
Energy consumption
Driving cycle
Power (physics)
Electric vehicle
Engineering
Control (management)
Electrical engineering
Quantum mechanics
Operating system
Artificial intelligence
Thermodynamics
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2017.2742142
- OA Status
- gold
- Cited By
- 8
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2750201351
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2750201351Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2017.2742142Digital Object Identifier
- Title
-
Energy Control Strategy of HEB Based on the Instantaneous Optimization AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-01-01Full publication date if available
- Authors
-
Dapai Shi, Liang Chu, Jianhua Guo, Guangdong Tian, Yixiong Feng, Zhiwu LiList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2017.2742142Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2017.2742142Direct OA link when available
- Concepts
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Torque, Computer science, Fuel efficiency, MATLAB, Control theory (sociology), Automotive engineering, Energy consumption, Driving cycle, Power (physics), Electric vehicle, Engineering, Control (management), Electrical engineering, Quantum mechanics, Operating system, Artificial intelligence, Thermodynamics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2022: 2, 2021: 2, 2020: 1, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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