Pontryagin’s minimum principle based fuzzy adaptive energy management for hybrid electric vehicle using real-time traffic information
出版年份 2021 全文链接
标题
Pontryagin’s minimum principle based fuzzy adaptive energy management for hybrid electric vehicle using real-time traffic information
作者
关键词
Hybrid electric vehicle, Pontryagin’s minimum principle, Fuzzy adaptive energy management, Traffic information, Average power prediction
出版物
APPLIED ENERGY
Volume 286, Issue -, Pages 116467
出版商
Elsevier BV
发表日期
2021-01-25
DOI
10.1016/j.apenergy.2021.116467
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Virtual Sensor for Electric Vehicles’ State of Charge Estimation
- (2020) Giambattista Gruosso et al. Electronics
- Driving Mode Optimization for Hybrid Trucks Using Road and Traffic Preview Data
- (2020) Yutao Chen et al. Energies
- Energy management strategy of dual planetary hybrid electric vehicle based on optimal transmission efficiency
- (2019) Shaohua Wang et al. Journal of Theoretical and Applied Mechanics
- Energy Management Systems for Electrified Powertrains: State-of-the-Art Review and Future Trends
- (2019) Atriya Biswas et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A comprehensive dynamic efficiency-enhanced energy management strategy for plug-in hybrid electric vehicles
- (2019) Feng Wang et al. APPLIED ENERGY
- Parametric study on reinforcement learning optimized energy management strategy for a hybrid electric vehicle
- (2019) Bin Xu et al. APPLIED ENERGY
- State-of-charge-constraint-based energy management strategy of plug-in hybrid electric vehicle with bus route
- (2019) Hongqiang Guo et al. ENERGY CONVERSION AND MANAGEMENT
- Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies
- (2019) Dai-Duong Tran et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- An adaptive ECMS with driving style recognition for energy optimization of parallel hybrid electric buses
- (2019) Xiang Tian et al. ENERGY
- An ANFIS-Based ECMS for Energy Optimization of Parallel Hybrid Electric Bus
- (2019) Xiang Tian et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles
- (2018) Yang Zhou et al. JOURNAL OF POWER SOURCES
- Threshold-changing control strategy for series hybrid electric vehicles
- (2018) Wassif Shabbir et al. APPLIED ENERGY
- Adaptive and Non-Adaptive Strategies for Optimal Energy Management and Sizing of a Dual Storage System in a Hybrid Electric Bus
- (2018) Victor Isaac Herrera et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Estimation of the ECMS Equivalent Factor Bounds for Hybrid Electric Vehicles
- (2017) Amir Rezaei et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Real-Time Energy Management Strategy Based on Velocity Forecasts Using V2V and V2I Communications
- (2017) Fengqi Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Fuel consumption optimization for smart hybrid electric vehicle during a car-following process
- (2017) Liang Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Optimal energy management strategy for parallel plug-in hybrid electric vehicle based on driving behavior analysis and real time traffic information prediction
- (2017) Yuanjian Zhang et al. MECHATRONICS
- Control design and fuel economy investigation of power split HEV with energy regeneration of suspension
- (2016) Dehua Shi et al. APPLIED ENERGY
- Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses
- (2016) Liang Li et al. APPLIED ENERGY
- Trip-oriented stochastic optimal energy management strategy for plug-in hybrid electric bus
- (2016) Yongchang Du et al. ENERGY
- Optimized predictive energy management of plug-in hybrid electric vehicle based on traffic condition
- (2016) Morteza Montazeri-Gh et al. JOURNAL OF CLEANER PRODUCTION
- Modeling and optimal energy management of a power split hybrid electric vehicle
- (2016) DeHua Shi et al. Science China-Technological Sciences
- Integrated optimal eco-driving on rolling terrain for hybrid electric vehicle with vehicle-infrastructure communication
- (2016) Jia Hu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An optimized classification algorithm by BP neural network based on PLS and HCA
- (2015) Weikuan Jia et al. APPLIED INTELLIGENCE
- Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles
- (2015) Chao Sun et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Hybrid powertrain optimization with trajectory prediction based on inter-vehicle-communication and vehicle-infrastructure-integration
- (2014) Mohd Azrin Mohd Zulkefli et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Probe vehicle based real-time traffic monitoring on urban roadways
- (2014) Yiheng Feng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A control-oriented simulation model of a power-split hybrid electric vehicle
- (2012) Mihael Cipek et al. APPLIED ENERGY
- A probabilistic map matching method for smartphone GPS data
- (2012) Michel Bierlaire et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Analysis of a rule-based control strategy for on-board energy management of series hybrid vehicles
- (2011) Marco Sorrentino et al. CONTROL ENGINEERING PRACTICE
- Optimal Equivalent Fuel Consumption for Hybrid Electric Vehicles
- (2011) Namwook Kim et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Predictive Reference Signal Generator for Hybrid Electric Vehicles
- (2009) D. Ambuhl et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Online Energy Management for Hybrid Electric Vehicles
- (2008) J.T.B.A. Kessels et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started