Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index
An energy management strategy (EMS) considering both optimality and real-time performance has become a challenge for the development of hybrid electric vehicles (HEVs) in recent years. Previous EMSes based on the optimal control theory minimize the fuel consumption, but cannot be directly implement...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-11-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/8/11/12325 |
| _version_ | 1818014100670644224 |
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| author | Chaoying Xia Cong Zhang |
| author_facet | Chaoying Xia Cong Zhang |
| author_sort | Chaoying Xia |
| collection | DOAJ |
| description | An energy management strategy (EMS) considering both optimality and real-time performance has become a challenge for the development of hybrid electric vehicles (HEVs) in recent years. Previous EMSes based on the optimal control theory minimize the fuel consumption, but cannot be directly implemented in real-time because of the requirement for a prior knowledge of the entire driving cycle. This paper presents an innovative design concept and method to obtain a power management strategy for HEVs, which is independent of future driving conditions. A quadratic performance index is designed to ensure the vehicle drivability, maintain the battery energy sustainability and average and smooth the engine power and motor power to indirectly reduce fuel consumption. To further improve the fuel economy, two rules are adopted to avoid the inefficient engine operation by switching control modes between the electric and hybrid modes according to the required driving power. The derived power of the engine and motor are related to current vehicle velocity and battery residual energy, as well as their desired values. The simulation results over different driving cycles in Advanced Vehicle Simulator (ADVISOR) show that the proposed strategy can significantly improve the fuel economy, which is very close to the optimal strategy based on Pontryagin’s minimum principle. |
| first_indexed | 2024-04-14T06:42:02Z |
| format | Article |
| id | doaj.art-531caa6e3eea4520a60e62c4c5ffbeef |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T06:42:02Z |
| publishDate | 2015-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-531caa6e3eea4520a60e62c4c5ffbeef2022-12-22T02:07:19ZengMDPI AGEnergies1996-10732015-11-01811124581247310.3390/en81112325en81112325Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance IndexChaoying Xia0Cong Zhang1School of Electrical Engineering and Automation, Tianjin University, No. 92 Weijin Road, Tianjin 300072, ChinaSchool of Electrical Engineering and Automation, Tianjin University, No. 92 Weijin Road, Tianjin 300072, ChinaAn energy management strategy (EMS) considering both optimality and real-time performance has become a challenge for the development of hybrid electric vehicles (HEVs) in recent years. Previous EMSes based on the optimal control theory minimize the fuel consumption, but cannot be directly implemented in real-time because of the requirement for a prior knowledge of the entire driving cycle. This paper presents an innovative design concept and method to obtain a power management strategy for HEVs, which is independent of future driving conditions. A quadratic performance index is designed to ensure the vehicle drivability, maintain the battery energy sustainability and average and smooth the engine power and motor power to indirectly reduce fuel consumption. To further improve the fuel economy, two rules are adopted to avoid the inefficient engine operation by switching control modes between the electric and hybrid modes according to the required driving power. The derived power of the engine and motor are related to current vehicle velocity and battery residual energy, as well as their desired values. The simulation results over different driving cycles in Advanced Vehicle Simulator (ADVISOR) show that the proposed strategy can significantly improve the fuel economy, which is very close to the optimal strategy based on Pontryagin’s minimum principle.http://www.mdpi.com/1996-1073/8/11/12325hybrid electric vehiclelinear quadratic optimal controlreal-time controlenergy management |
| spellingShingle | Chaoying Xia Cong Zhang Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index Energies hybrid electric vehicle linear quadratic optimal control real-time control energy management |
| title | Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index |
| title_full | Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index |
| title_fullStr | Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index |
| title_full_unstemmed | Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index |
| title_short | Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index |
| title_sort | power management strategy of hybrid electric vehicles based on quadratic performance index |
| topic | hybrid electric vehicle linear quadratic optimal control real-time control energy management |
| url | http://www.mdpi.com/1996-1073/8/11/12325 |
| work_keys_str_mv | AT chaoyingxia powermanagementstrategyofhybridelectricvehiclesbasedonquadraticperformanceindex AT congzhang powermanagementstrategyofhybridelectricvehiclesbasedonquadraticperformanceindex |