A real-time control is proposed for plug-in-hybrid electric vehicles (PHEVs) based on dynamic programming (DP) and equivalent fuel consumption minimization strategy (ECMS) in this study. Firstly, the resulting controls of mode selection and series mode are stored in tables through offline simulation of DP, and the parallel HEV mode uses ECMS-based real-time algorithm to reduce the application of maps and avoid manual adjustment of parameters. Secondly, the feedback energy management system (FMES) is built based on feedback from SoC, which takes into account the charge and discharge reaction (CDR) of the battery, and in order to make full use of the energy stored in the battery, the reference SoC is introduced. Finally, a comparative simulat...
This paper presents a real-time optimal control approach for the energy management problem of hybrid...
Power split in Fuel Cell Hybrid Electric Vehicles (FCHEVs) has been controlled using different strat...
This paper proposes a predictive real time energy management strategy for plug-in- hybrid electric v...
A real-time optimal control of parallel hybrid electric vehicles (PHEVs) with the equivalent consump...
To explore the problems associated with applying dynamic programming (DP) in the energy management s...
Plug-In Hybrid Vehicles (PHEVs) represent the middle point between Hybrid Electric Vehicles (HEVs) a...
An efficient method for raising the effectiveness and performance of fuel cell electric vehicles (FC...
This paper proposes an adaptive real-time energy management strategy for a parallel plug-in hybrid e...
The optimization of energy control strategy is one of the key technologies of plug-in hybrid vehicle...
© 2017 IEEE. In this paper we focus on the supervisory control problem of a parallel hybrid electric...
A plug-in hybrid electric vehicle(PHEV) is a promising way of achieving the benefits of the electric...
The employed energy management strategy plays an important role in energy saving performance and exh...
Plug-in Hybrid Electric Vehicles (PHEV) provide a promising way of achieving the benefits of the ele...
When searching for the optimal solution, Equivalent Consumption Minimum Strategy (ECMS) has to calcu...
AbstractThe power flow between the power sources and the performance of plug-in-hybrid electric vehi...
This paper presents a real-time optimal control approach for the energy management problem of hybrid...
Power split in Fuel Cell Hybrid Electric Vehicles (FCHEVs) has been controlled using different strat...
This paper proposes a predictive real time energy management strategy for plug-in- hybrid electric v...
A real-time optimal control of parallel hybrid electric vehicles (PHEVs) with the equivalent consump...
To explore the problems associated with applying dynamic programming (DP) in the energy management s...
Plug-In Hybrid Vehicles (PHEVs) represent the middle point between Hybrid Electric Vehicles (HEVs) a...
An efficient method for raising the effectiveness and performance of fuel cell electric vehicles (FC...
This paper proposes an adaptive real-time energy management strategy for a parallel plug-in hybrid e...
The optimization of energy control strategy is one of the key technologies of plug-in hybrid vehicle...
© 2017 IEEE. In this paper we focus on the supervisory control problem of a parallel hybrid electric...
A plug-in hybrid electric vehicle(PHEV) is a promising way of achieving the benefits of the electric...
The employed energy management strategy plays an important role in energy saving performance and exh...
Plug-in Hybrid Electric Vehicles (PHEV) provide a promising way of achieving the benefits of the ele...
When searching for the optimal solution, Equivalent Consumption Minimum Strategy (ECMS) has to calcu...
AbstractThe power flow between the power sources and the performance of plug-in-hybrid electric vehi...
This paper presents a real-time optimal control approach for the energy management problem of hybrid...
Power split in Fuel Cell Hybrid Electric Vehicles (FCHEVs) has been controlled using different strat...
This paper proposes a predictive real time energy management strategy for plug-in- hybrid electric v...