Energy management strategies of hybrid electric vehicles: A comparative review

With increasing environmental problems, including air pollution, rising greenhouse gases and global warming, the need to use clean energy resources seems essential. Therefore, the usage of clean and renewable energy sources is suggested as a suitable solution to overcome the mentioned concerns. The transportation section contributes to a huge percentage of energy consumption. Hybrid electric vehicles (HEVs), by combining several energy resources, are considered as a crucial solution to decrease fossil fuel consumption and improve the environmental challenges. The existence of an alternative energy resource and the internal combustion engine together provides optimal power distribution among them to maximise power usage and minimise fuel consumption. Energy management strategy (EMS) is an essential challenge in HEV's design procedure to deal with the power distribution in multiple power source systems to improve the performance of the HEVs. A review of various EMSs for HEVs, followed by an analysis of each type, including its benefits and drawbacks, is presented by the authors. In addition to this, the major challenges in EMSs for HEVs are described and a comprehensive review is presented for strategies addressing these issues.

[1]  Billy Wu,et al.  Lithium-ion battery lifetime extension: A review of derating methods , 2023, Journal of Power Sources.

[2]  R. Velraj,et al.  A state-of-the art review on advancing battery thermal management systems for fast-charging , 2023, Applied Thermal Engineering.

[3]  M. Collares-Pereira,et al.  Economic and energetic assessment of a hybrid vanadium redox flow and lithium-ion batteries, considering power sharing strategies impact , 2023, Journal of Energy Storage.

[4]  C. Xiang,et al.  Real-Time Energy Management for a Hybrid Electric Vehicle Based on Heuristic Search , 2022, IEEE Transactions on Vehicular Technology.

[5]  Shichun Yang,et al.  Comparative Analysis for Commercial Li-Ion Batteries Degradation Using the Distribution of Relaxation Time Method Based on Electrochemical Impedance Spectroscopy , 2022, SSRN Electronic Journal.

[6]  W. Mérida,et al.  Energy management for solar-hydrogen microgrids with vehicle-to-grid and power-to-gas transactions , 2022, International Journal of Hydrogen Energy.

[7]  Jichao Hong,et al.  Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation , 2022, Energy.

[8]  Limei Wang,et al.  Energy management strategies for fuel cell hybrid electric vehicles: Classification, comparison, and outlook , 2022, Energy Conversion and Management.

[9]  S. E. Abdollahi,et al.  Energy managment strategies of battery-ultracapacitor hybrid storage systems for electric vehicles: Review, challenges, and future trends , 2022, Journal of Energy Storage.

[10]  Po‐Tuan Chen,et al.  A Rule-Based Control Strategy of Driver Demand to Enhance Energy Efficiency of Hybrid Electric Vehicles , 2022, Applied Sciences.

[11]  E. Elbouchikhi,et al.  Electric Vehicle Traction Drives and Charging Station Power Electronics: Current Status and Challenges , 2022, Energies.

[12]  F. Bode,et al.  Battery-Supercapacitor Energy Storage Systems for Electrical Vehicles: A Review , 2022, Energies.

[13]  Yisheng Lv,et al.  Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles , 2022, IEEE Transactions on Intelligent Transportation Systems.

[14]  Hao Wu A Survey of Battery Swapping Stations for Electric Vehicles: Operation Modes and Decision Scenarios , 2022, IEEE Transactions on Intelligent Transportation Systems.

[15]  N. Bayati,et al.  Robust Multi-Objective H2/H∞ Load Frequency Control of Multi-Area Interconnected Power Systems Using TS Fuzzy Modeling by Considering Delay and Uncertainty , 2022, Energies.

[16]  M. Farrag,et al.  Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs , 2022, International Journal of Energy Research.

[17]  Y. Zou,et al.  High robustness energy management strategy of hybrid electric vehicle based on improved soft actor-critic deep reinforcement learning , 2022, Energy.

[18]  Zhanle Wang,et al.  Centralized and Distributed Optimization for Vehicle-to-Grid Applications in Frequency Regulation , 2022, Energies.

[19]  Y. Obulesu,et al.  Hybrid Power Management Strategy with Fuel Cell, Battery, and Supercapacitor for Fuel Economy in Hybrid Electric Vehicle Application , 2022, Energies.

[20]  F. Maréchal,et al.  An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach , 2022, Applied Energy.

[21]  C. Xiang,et al.  A Q-learning fuzzy inference system based online energy management strategy for off-road hybrid electric vehicles , 2022, Energy.

[22]  Yunduan Cui,et al.  A soft actor-critic-based energy management strategy for electric vehicles with hybrid energy storage systems , 2022, Journal of Power Sources.

[23]  Quan Zhou,et al.  Hierarchical Q-learning network for online simultaneous optimization of energy efficiency and battery life of the battery/ultracapacitor electric vehicle , 2022, Journal of Energy Storage.

[24]  Di Wu,et al.  Co-optimization of a novel distributed energy system integrated with hybrid energy storage in different nearly zero energy community scenarios , 2022, Energy.

[25]  Akhil Hannegudda Ganesh,et al.  A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution , 2022, Renewable and Sustainable Energy Reviews.

[26]  M. Soltani,et al.  Locating high-impedance faults in DC microgrid clusters using support vector machines , 2022, Applied Energy.

[27]  Zheng Chen,et al.  Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning , 2022, Energy.

[28]  J. M. Perie,et al.  Design and Experimental Validation of Power Electric Vehicle Emulator for Testing Electric Vehicle Supply Equipment (EVSE) with Vehicle-to-Grid (V2G) Capability , 2021, Applied Sciences.

[29]  Volker Pickert,et al.  A Hybrid Charger of Conductive and Inductive Modes for Electric Vehicles , 2021, IEEE Transactions on Industrial Electronics.

[30]  M. Benbouzid,et al.  Overview of Signal Processing and Machine Learning for Smart Grid Condition Monitoring , 2021, Electronics.

[31]  M. Short,et al.  Strategies for Controlling Microgrid Networks with Energy Storage Systems: A Review , 2021, Energies.

[32]  J. Song,et al.  Synergies between power and hydrogen carriers using fuel-cell hybrid electrical vehicle and power-to-gas storage as new coupling points , 2021 .

[33]  Norhisam Misron,et al.  A comprehensive review on system architecture and international standards for electric vehicle charging stations , 2021 .

[34]  Chongjie Zhang,et al.  On the Estimation Bias in Double Q-Learning , 2021, NeurIPS.

[35]  Jagadeesh Pasupuleti,et al.  A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications , 2021, Sustainability.

[36]  Jindi Hu,et al.  A Distributed MPC to Exploit Reactive Power V2G for Real-Time Voltage Regulation in Distribution Networks , 2021, IEEE Transactions on Smart Grid.

[37]  Mohammad R. Khosravi,et al.  An Intelligent Platooning Algorithm for Sustainable Transportation Systems in Smart Cities , 2021, IEEE Sensors Journal.

[38]  Elhoussin Elbouchikhi,et al.  Optimal Sizing and Energy Management of Microgrids with Vehicle-to-Grid Technology: A Critical Review and Future Trends , 2021, Energies.

[39]  Majid Mehrasa,et al.  Power management using robust control strategy in hybrid microgrid for both grid-connected and islanding modes , 2021, Journal of Energy Storage.

[40]  Gian Carlo Cardarilli,et al.  Multi-Agent Reinforcement Learning: A Review of Challenges and Applications , 2021, Applied Sciences.

[41]  Ziqiang Chen,et al.  Model Prediction and Rule Based Energy Management Strategy for a Plug-in Hybrid Electric Vehicle With Hybrid Energy Storage System , 2021, IEEE Transactions on Power Electronics.

[42]  Alain Tchagang,et al.  Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control , 2021, Energies.

[43]  Changle Xiang,et al.  Energy Management for a Hybrid Electric Vehicle Based on Blended Reinforcement Learning With Backward Focusing and Prioritized Sweeping , 2021, IEEE Transactions on Vehicular Technology.

[44]  Juan C. Vasquez,et al.  MPC-informed ECMS based real-time power management strategy for hybrid electric ship , 2021 .

[45]  Ewan Pritchard,et al.  Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming , 2021, Combustion Engines.

[46]  Yugong Luo,et al.  Safe and Energy-Efficient Car-Following Control Strategy for Intelligent Electric Vehicles Considering Regenerative Braking , 2021, IEEE Transactions on Intelligent Transportation Systems.

[47]  Shankar C. Subramanian,et al.  Electrified Vehicle Wheel Slip Control Using Responsiveness of Regenerative Braking , 2021, IEEE Transactions on Vehicular Technology.

[48]  Francisco J. Martinez,et al.  A Review on Electric Vehicles: Technologies and Challenges , 2021 .

[49]  Poria Fajri,et al.  A Novel Control Strategy for the Frequency and Voltage Regulation of Distribution Grids Using Electric Vehicle Batteries , 2021, Energies.

[50]  Marco Pruckner,et al.  Development and Evaluation of a Smart Charging Strategy for an Electric Vehicle Fleet Based on Reinforcement Learning , 2021 .

[51]  Hong-Tzer Yang,et al.  Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers , 2021, Energies.

[52]  Jielin Jiang,et al.  Advanced Power Management and Control for Hybrid Electric Vehicles: A Survey , 2021, Wirel. Commun. Mob. Comput..

[53]  Amin Hajizadeh,et al.  Mathematical morphology-based local fault detection in DC Microgrid clusters , 2020 .

[54]  A. Canova,et al.  Economic and environmental sustainability of Dynamic Wireless Power Transfer for electric vehicles supporting reduction of local air pollutant emissions , 2020, Renewable and Sustainable Energy Reviews.

[55]  A. Alola,et al.  The imperativeness of environmental quality in the United States transportation sector amidst biomass-fossil energy consumption and growth , 2020 .

[56]  Pei Zhang,et al.  Adaptive Equivalent Consumption Minimization Strategy for Hybrid Heavy-Duty Truck Based on Driving Condition Recognition and Parameter Optimization , 2020, Energies.

[57]  Xianke Lin,et al.  Battery aging- and temperature-aware predictive energy management for hybrid electric vehicles , 2020 .

[58]  Xin Zhang,et al.  A Comprehensive Review on Classification, Energy Management Strategy, and Control Algorithm for Hybrid Electric Vehicles , 2020 .

[59]  B. Sovacool,et al.  Actors, business models, and innovation activity systems for vehicle-to-grid (V2G) technology: A comprehensive review , 2020, Renewable and Sustainable Energy Reviews.

[60]  Sherif Abdelwahed,et al.  An MPC-based power management of standalone DC microgrid with energy storage , 2020 .

[61]  C. Gu,et al.  Distributionally Robust Hydrogen Optimization With Ensured Security and Multi-Energy Couplings , 2020, IEEE Transactions on Power Systems.

[62]  Xudong Zhang,et al.  Deep reinforcement learning based energy management for a hybrid electric vehicle , 2020, Energy.

[63]  Aqeel Ur Rahman,et al.  Variable structure-based control of fuel cell-supercapacitor-battery based hybrid electric vehicle , 2020 .

[64]  Anand Nayyar,et al.  A Novel Simulated-Annealing Based Electric Bus System Design, Simulation, and Analysis for Dehradun Smart City , 2020, IEEE Access.

[65]  Xin Zhang,et al.  Adaptive Smoothing Power Following Control Strategy Based on an Optimal Efficiency Map for a Hybrid Electric Tracked Vehicle , 2020, Energies.

[66]  Fazhan Tao,et al.  Data-driven reinforcement-learning-based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles , 2020, Journal of Power Sources.

[67]  Chee Wei Tan,et al.  Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review , 2020 .

[68]  E. Bezirtzoglou,et al.  Environmental and Health Impacts of Air Pollution: A Review , 2020, Frontiers in Public Health.

[69]  Nader Javani,et al.  Performance optimization of hybrid hydrogen fuel cell-electric vehicles in real driving cycles , 2020 .

[70]  Chao Chen,et al.  Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm , 2020, Energy Conversion and Management.

[71]  N. Abas,et al.  Role of energy storage systems in energy transition from fossil fuels to renewables , 2020, Energy Storage.

[72]  Hicham Chaoui,et al.  An Adaptive State Machine Based Energy Management Strategy for a Multi-Stack Fuel Cell Hybrid Electric Vehicle , 2020, IEEE Transactions on Vehicular Technology.

[73]  Hegazy Rezk,et al.  Comparison among various energy management strategies for reducing hydrogen consumption in a hybrid fuel cell/supercapacitor/battery system , 2019 .

[74]  Shin Ishii,et al.  Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning , 2019, Front. Neurorobot..

[75]  Yujie Wang,et al.  Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine , 2019, Applied Energy.

[76]  Linni Jian,et al.  The state-of-the-arts of wireless electric vehicle charging via magnetic resonance: principles, standards and core technologies , 2019, Renewable and Sustainable Energy Reviews.

[77]  José L. Bernal-Agustín,et al.  Energy Management in Microgrids with Renewable Energy Sources: A Literature Review , 2019, Applied Sciences.

[78]  Jasmine Siu Lee Lam,et al.  A review of energy efficiency in ports: Operational strategies, technologies and energy management systems , 2019, Renewable and Sustainable Energy Reviews.

[79]  Massimo Mitolo,et al.  Electrical Safety Considerations in Large-Scale Electric Vehicle Charging Stations , 2019, IEEE Transactions on Industry Applications.

[80]  Ming Cheng,et al.  Nonlinear Model Predictive Control of a Power-Split Hybrid Electric Vehicle With Consideration of Battery Aging , 2019, Journal of Dynamic Systems, Measurement, and Control.

[81]  Alexandre Ravey,et al.  Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation , 2019, Energy Conversion and Management.

[82]  Yechen Qin,et al.  Online Energy Management for Multimode Plug-In Hybrid Electric Vehicles , 2019, IEEE Transactions on Industrial Informatics.

[83]  Michael Kuby,et al.  A multi-scale framework for fuel station location: From highways to street intersections , 2019, Transportation Research Part D: Transport and Environment.

[84]  Dhaou Said,et al.  Decentralized Electric Vehicle Supply Stations (D-EVSSs): A Realistic Scenario for Smart Cities , 2019, IEEE Access.

[85]  Jinyue Yan,et al.  Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management , 2019, Applied Energy.

[86]  Hongwen He,et al.  ARIMA-Based Road Gradient and Vehicle Velocity Prediction for Hybrid Electric Vehicle Energy Management , 2019, IEEE Transactions on Vehicular Technology.

[87]  Kara M. Kockelman,et al.  Optimal locations of U.S. fast charging stations for long-distance trip completion by battery electric vehicles , 2019, Journal of Cleaner Production.

[88]  Santiago Grijalva,et al.  A Review of Reinforcement Learning for Autonomous Building Energy Management , 2019, Comput. Electr. Eng..

[89]  Siyuan Chen,et al.  GIS-Based Multi-Objective Particle Swarm Optimization of charging stations for electric vehicles , 2019, Energy.

[90]  Wei Xu,et al.  Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system , 2019, Mechatronics.

[91]  Lin Li,et al.  Energy Management of Hybrid Electric Vehicle Using Vehicle Lateral Dynamic in Velocity Prediction , 2019, IEEE Transactions on Vehicular Technology.

[92]  Mario Marchesoni,et al.  Fuel Economy and EMS for a Series Hybrid Vehicle Based on Supercapacitor Storage , 2019, IEEE Transactions on Power Electronics.

[93]  Hedayat Saboori,et al.  Multi-objective optimum charging management of electric vehicles through battery swapping stations , 2018, Energy.

[94]  Lin Yang,et al.  Dynamic programming for New Energy Vehicles based on their work modes part I: Electric Vehicles and Hybrid Electric Vehicles , 2018, Journal of Power Sources.

[95]  Bin Li,et al.  A review of power management strategies and component sizing methods for hybrid vehicles , 2018, Renewable and Sustainable Energy Reviews.

[96]  Jeffrey B. Burl,et al.  Catch Energy Saving Opportunity in Charge-Depletion Mode, a Real-Time Controller for Plug-In Hybrid Electric Vehicles , 2018, IEEE Transactions on Vehicular Technology.

[97]  Houjun Tang,et al.  A review of recent trends in wireless power transfer technology and its applications in electric vehicle wireless charging , 2018, Renewable and Sustainable Energy Reviews.

[98]  Venkateswarlu Velisala,et al.  A review on energy allocation of fuel cell/battery/ultracapacitor for hybrid electric vehicles , 2018, International Journal of Energy Research.

[99]  Mohamed Benbouzid,et al.  Microgrids energy management systems: A critical review on methods, solutions, and prospects , 2018, Applied Energy.

[100]  Weiwen Deng,et al.  Stochastic Control of Predictive Power Management for Battery/Supercapacitor Hybrid Energy Storage Systems of Electric Vehicles , 2018, IEEE Transactions on Industrial Informatics.

[101]  Qi Li,et al.  Power Management Strategy Based on Adaptive Droop Control for a Fuel Cell-Battery-Supercapacitor Hybrid Tramway , 2018, IEEE Transactions on Vehicular Technology.

[102]  Kari Tammi,et al.  Review of recent trends in charging infrastructure planning for electric vehicles , 2018, WIREs Energy and Environment.

[103]  He Tian,et al.  Adaptive Fuzzy Logic Energy Management Strategy Based on Reasonable SOC Reference Curve for Online Control of Plug-in Hybrid Electric City Bus , 2018, IEEE Transactions on Intelligent Transportation Systems.

[104]  S.M.T. Bathaee,et al.  Improving fuel economy and performance of a fuel-cell hybrid electric vehicle (fuel-cell, battery, and ultra-capacitor) using optimized energy management strategy , 2018 .

[105]  P. Balsara,et al.  Wireless Power Transfer for Vehicular Applications: Overview and Challenges , 2018, IEEE Transactions on Transportation Electrification.

[106]  Di Zhao,et al.  Development of a Cooperative Braking System for Front-Wheel Drive Electric Vehicles , 2018 .

[107]  Jiayi Cao,et al.  Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle , 2018 .

[108]  Jeffrey B. Burl,et al.  Catch energy saving opportunity (CESO), an instantaneous optimal energy management strategy for series hybrid electric vehicles , 2017 .

[109]  Hongwen He,et al.  Power Management for a Plug-in Hybrid Electric Vehicle Based on Reinforcement Learning with Continuous State and Action Spaces , 2017 .

[110]  Davide Lauria,et al.  Optimal control strategy of ultra-capacitors in hybrid energy storage system for electric vehicles , 2017 .

[111]  Guodong Yin,et al.  Mode shift map design and integrated energy management control of a multi-mode hybrid electric vehicle , 2017 .

[112]  Zhiguo Zhao,et al.  Particle swarm optimization of driving torque demand decision based on fuel economy for plug-in hybrid electric vehicle , 2017 .

[113]  Yanjun Huang,et al.  Model predictive control power management strategies for HEVs: A review , 2017 .

[114]  Junqiang Xi,et al.  Real-Time Energy Management Strategy Based on Velocity Forecasts Using V2V and V2I Communications , 2017, IEEE Transactions on Intelligent Transportation Systems.

[115]  Datong Qin,et al.  A Dynamic Control Strategy for Hybrid Electric Vehicles Based on Parameter Optimization for Multiple Driving Cycles and Driving Pattern Recognition , 2017 .

[116]  Yue Zhao,et al.  Trip-oriented stochastic optimal energy management strategy for plug-in hybrid electric bus , 2016 .

[117]  Zicheng Bi,et al.  A review of wireless power transfer for electric vehicles: Prospects to enhance sustainable mobility , 2016 .

[118]  Shuo Zhang,et al.  Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system , 2016 .

[119]  Y. Bultel,et al.  Proton exchange membrane fuel cell model for aging predictions: Simulated equivalent active surface area loss and comparisons with durability tests , 2016 .

[120]  Mo-Yuen Chow,et al.  A Game Theory Approach to Energy Management of An Engine–Generator/Battery/Ultracapacitor Hybrid Energy System , 2016, IEEE Transactions on Industrial Electronics.

[121]  Zeyu Chen,et al.  Particle swarm optimization-based optimal power management of plug-in hybrid electric vehicles considering uncertain driving conditions , 2016 .

[122]  Shuo Zhang,et al.  Adaptive energy management of a plug-in hybrid electric vehicle based on driving pattern recognition and dynamic programming , 2015 .

[123]  Pei Zhang,et al.  A comprehensive analysis of energy management strategies for hybrid electric vehicles based on bibliometrics , 2015 .

[124]  Ferdinand Panik,et al.  Dynamic programming technique for optimizing fuel cell hybrid vehicles , 2015 .

[125]  Morteza Montazeri-Gh,et al.  Development a new power management strategy for power split hybrid electric vehicles , 2015 .

[126]  Maarten Steinbuch,et al.  Implementation of Dynamic Programming for Optimal Control Problems With Continuous States , 2015, IEEE Transactions on Control Systems Technology.

[127]  Ilse Cervantes,et al.  On the Design of Robust Energy Management Strategies for FCHEV , 2015, IEEE Transactions on Vehicular Technology.

[128]  Viktor Larsson,et al.  Analytic Solutions to the Dynamic Programming Subproblem in Hybrid Vehicle Energy Management , 2015, IEEE Transactions on Vehicular Technology.

[129]  Zhang Yu,et al.  Management Strategy Based on Genetic Algorithm Optimization for PHEV , 2014 .

[130]  Jianfeng Zheng,et al.  Hybrid powertrain optimization with trajectory prediction based on inter-vehicle-communication and vehicle-infrastructure-integration , 2014 .

[131]  Rajit Johri,et al.  Optimal energy management of a series hybrid vehicle with combined fuel economy and low-emission objectives , 2014 .

[132]  Jin-Woo Jung,et al.  Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration , 2014 .

[133]  Dirk Söffker,et al.  Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives , 2014 .

[134]  Lino Guzzella,et al.  EQUIVALENT CONSUMPTION MINIMIZATION STRATEGY FOR THE CONTROL OF REAL DRIVING NOX EMISSIONS OF A DIESEL HYBRID ELECTRIC VEHICLE , 2014 .

[135]  Ilya V. Kolmanovsky,et al.  Game Theory Controller for Hybrid Electric Vehicles , 2014, IEEE Transactions on Control Systems Technology.

[136]  Hosam K. Fathy,et al.  Comparison of Supervisory Control Strategies for Series Plug-In Hybrid Electric Vehicle Powertrains Through Dynamic Programming , 2014, IEEE Transactions on Control Systems Technology.

[137]  Kamal Al-Haddad,et al.  A Robust $\hbox{H}_{2}$-Consumption-Minimization-Based Energy Management Strategy for a Fuel Cell Hybrid Emergency Power System of More Electric Aircraft , 2014, IEEE Transactions on Industrial Electronics.

[138]  Zheng Chen,et al.  Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming , 2014 .

[139]  Danijel Pavković,et al.  Design of a power-split hybrid electric vehicle control system utilizing a rule-based controller and an equivalent consumption minimization strategy , 2014 .

[140]  Lino Guzzella,et al.  Implementation of Dynamic Programming for $n$-Dimensional Optimal Control Problems With Final State Constraints , 2013, IEEE Transactions on Control Systems Technology.

[141]  Jian Song,et al.  A Model-Predictive-Control-Based Torque Demand Control Approach for Parallel Hybrid Powertrains , 2013, IEEE Transactions on Vehicular Technology.

[142]  Hui Wang,et al.  Improved parallel chaos optimization algorithm , 2012, Appl. Math. Comput..

[143]  Luis M. Fernández,et al.  Hybrid fuel cell and battery tramway control based on an equivalent consumption minimization strategy , 2011 .

[144]  Giorgio Rizzoni,et al.  Energy-Optimal Control of Plug-in Hybrid Electric Vehicles for Real-World Driving Cycles , 2011, IEEE Transactions on Vehicular Technology.

[145]  Hosam K. Fathy,et al.  A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles , 2011, IEEE Transactions on Control Systems Technology.

[146]  Guoming G. Zhu,et al.  Equivalent fuel consumption optimal control of a series hybrid electric vehicle , 2009 .

[147]  Jennifer Bauman,et al.  A Comparative Study of Fuel-Cell–Battery, Fuel-Cell–Ultracapacitor, and Fuel-Cell–Battery–Ultracapacitor Vehicles , 2008, IEEE Transactions on Vehicular Technology.

[148]  G. Rousseau,et al.  Constrained Optimization of Energy Management for a Mild-Hybrid Vehicle , 2007 .

[149]  Huei Peng,et al.  Power management strategy for a parallel hybrid electric truck , 2003, IEEE Trans. Control. Syst. Technol..

[150]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[151]  Keith Wipke,et al.  HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions , 2000 .

[152]  K. B. Wipke,et al.  ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach , 1999 .

[153]  Seung-Ki Sul,et al.  Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicle , 1998, IEEE Trans. Ind. Electron..

[154]  P. Guruvulunaidu,et al.  Designing of electric vehicle with regenerative braking system , 2023, i-manager’s Journal on Electrical Engineering.

[155]  M. Asghar,et al.  A Comprehensive Review on Structural Topologies, Power Levels, Energy Storage Systems, and Standards for Electric Vehicle Charging Stations and Their Impacts on Grid , 2021, IEEE Access.

[156]  Datong Qin,et al.  An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information , 2020 .

[157]  Abdul Kashif Janjua,et al.  Optimal Placement of Electric Vehicle Charging Stations in the Active Distribution Network , 2020, IEEE Access.

[158]  Zhiyong Liu,et al.  Real-Time Optimization Energy Management Strategy for Fuel Cell Hybrid Ships Considering Power Sources Degradation , 2020, IEEE Access.

[159]  Hamid Reza Baghaee,et al.  A Fuse Saving Scheme for DC Microgrids With High Penetration of Renewable Energy Resources , 2020, IEEE Access.

[160]  Komla A. Folly,et al.  Reinforcement Learning Techniques for Optimal Power Control in Grid-Connected Microgrids: A Comprehensive Review , 2020, IEEE Access.

[161]  Zhao Zhang,et al.  Recurrent Neural Network-Based Adaptive Energy Management Control Strategy of Plug-In Hybrid Electric Vehicles Considering Battery Aging , 2020 .

[162]  Jian Chen,et al.  A Multi-Objective Optimal Torque Distribution Strategy for Four In-Wheel-Motor Drive Electric Vehicles , 2019, IEEE Access.

[163]  Dongpu Cao,et al.  Fuel economy optimization of power split hybrid vehicles: A rapid dynamic programming approach , 2019, Energy.

[164]  Olalekan kabir Kolawole,et al.  EV Battery Wear Cost Optimization for Frequency Regulation Support in a V2G Environment , 2018 .

[165]  Fengchun Sun,et al.  Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles , 2017 .

[166]  Shuo Zhang,et al.  Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system , 2017 .

[167]  F. Graf,et al.  Renewable Power-to-Gas: A technological and economic review , 2016 .

[168]  Basil Kouvaritakis,et al.  Model Predictive Control , 2016 .

[169]  Yao Sun,et al.  A unified modeling and control of a multi-functional current source-typed converter for V2G application , 2014 .

[170]  Rashid A. Waraich,et al.  Author ' s personal copy Plug-in hybrid electric vehicles and smart grids : Investigations based on a microsimulation , 2013 .

[171]  Qing Wang,et al.  Intelligent Hybrid Vehicle Power Control—Part II: Online Intelligent Energy Management , 2013, IEEE Transactions on Vehicular Technology.

[172]  Xiaoyong Wang,et al.  An Energy Management Controller to Optimally Trade Off Fuel Economy and Drivability for Hybrid Vehicles , 2012, IEEE Transactions on Control Systems Technology.