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Model Predictive ControlSoftware
The paper describes the application of Model Predictive Control (MPC) methodologies for application to electric and hybrid-electric vehicle drive-train formats incorporating multiple energy/power sources. Particular emphasis is given to the co-ordinated management of energy flow from the multiple sources to address issues of extended vehicle range and battery life-time for all-electric drive-trains, and emissions reduction and drive-train torsional oscillations, for hybrid-electric counterparts, whilst accommodating operational constraints and, ultimately, generic non-standard driving cycles
In the years to come, Connected and Automated Vehicles (CAVs) are expected to substantially improve ...
The context of this dissertation is to theoretically investigate, design and implement a real-time c...
This paper reviews state-of-art on power and energy management strategies in hybrid electric vehicle...
The paper describes the application of Model Predictive Control (MPC) methodologies for application ...
The paper describes the application of Model Predictive Control (MPC) methodologies to a laboratory ...
In the last decades the automotive sector has seen a technological revolution, due mainly to the mor...
In the last decades the automotive sector has seen a technological revolution, due mainly to the mor...
In today’s automotive industry, much of the focus has shifted to advanced vehicle propulsion systems...
In today’s automotive industry, much of the focus has shifted to advanced vehicle propulsion systems...
Recently, the interest of the automotive market for hybrid vehicles has increased due to the more re...
This chapter reviews the developments and configurations of hybrid electrical vehicles. A classic mo...
In the years to come, Connected and Automated Vehicles (CAVs) are expected to substantially improve ...
Electrification of vehicles is an indispensable step in improving fuel economy and reducing fossil f...
Electrification of vehicles is an indispensable step in improving fuel economy and reducing fossil f...
In the years to come, Connected and Automated Vehicles (CAVs) are expected to substantially improve ...
In the years to come, Connected and Automated Vehicles (CAVs) are expected to substantially improve ...
The context of this dissertation is to theoretically investigate, design and implement a real-time c...
This paper reviews state-of-art on power and energy management strategies in hybrid electric vehicle...
The paper describes the application of Model Predictive Control (MPC) methodologies for application ...
The paper describes the application of Model Predictive Control (MPC) methodologies to a laboratory ...
In the last decades the automotive sector has seen a technological revolution, due mainly to the mor...
In the last decades the automotive sector has seen a technological revolution, due mainly to the mor...
In today’s automotive industry, much of the focus has shifted to advanced vehicle propulsion systems...
In today’s automotive industry, much of the focus has shifted to advanced vehicle propulsion systems...
Recently, the interest of the automotive market for hybrid vehicles has increased due to the more re...
This chapter reviews the developments and configurations of hybrid electrical vehicles. A classic mo...
In the years to come, Connected and Automated Vehicles (CAVs) are expected to substantially improve ...
Electrification of vehicles is an indispensable step in improving fuel economy and reducing fossil f...
Electrification of vehicles is an indispensable step in improving fuel economy and reducing fossil f...
In the years to come, Connected and Automated Vehicles (CAVs) are expected to substantially improve ...
In the years to come, Connected and Automated Vehicles (CAVs) are expected to substantially improve ...
The context of this dissertation is to theoretically investigate, design and implement a real-time c...
This paper reviews state-of-art on power and energy management strategies in hybrid electric vehicle...
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