Energy management strategy based on fuzzy control for Plug-in Hybrid Electric Vehicles

Meng, Dawei; Zhou, Ming; Lu, Deke

doi:10.14257/astl.2013.29.92

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…It has tested the control network in real vehicle by the tools of CANoe and CANStress, and evaluated its real-time and anti-interference performance. The experiment results are performed as following: control network can highly efficiently complete powertrain real-time data exchange between various components, as well as ensure low bus load rate of communication network during the whole process; in the interference environment, it can still work stablely and ensure the real-time control, so it has achieved the ideal control effect [16] 。 In addition, the diagnostic network based on UDS was built in the network. This is great convenient for system test and debugging as well as fault diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Design and Analysis of CAN Communication Network Applied in Hybrid Electric Vehicle

Wan

Qiu

et al. 2014

AMR

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This paper briefly presents a Parallel Serial Hybrid Electric Vehicle structure combined with NAC institute, constructing a CAN Communication Network of Hybrid Electric Vehicle’s Powertrain and also defining the Communication protocol of the control Network. The Network constructed is tested on bench and prototype vehicle and by using CANstress, CANoe and some other Automotive network development tools, actual test and performance analysis have been conducted. The experiment result illustrates that the control network system arrives a high stable performance and real-time with low bus load and little error frames under high transmission speed and interference environment, and can meet requirement of HEV Powertrain of stability, real-time and accurate control. Besides that, we also constructs a Diagnostic Network, which fulfills the unified diagnostic services (UDS) defined by ISO14229.

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Section: Discussionmentioning

confidence: 99%

Design and Analysis of CAN Communication Network Applied in Hybrid Electric Vehicle

Wan

Qiu

et al. 2014

AMR

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“…In July 2008, Crude oil prices sky-rocketed. However, this made the automobile industries focus more on fuelefficient vehicles rather than shifting towards Pure EVs altogether 7) The current trend of turning gasoline-powered vehicles into electric ones entails rearranging the location of electrical components. This makes it possible to use older vehicles in a manner that is friendlier to the environment and more efficient.…”

Section: Electric Vehicle: Historymentioning

confidence: 99%

Methods of Implementation in an Electric Vehicle Conversion and Vehicle Controller: A Review

Shailendra Singh Chauhan,

Lamba,

Yagyasen

2024

Evergreen

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The modern trends in converting a gasoline-powered vehicle (Diesel, Petrol, or CNG) into an electric vehicle requires an appropriate redesign in the placement of new electrical components. These new trends of approaches are often applied to vehicles that are manufactured for the sole purpose of operating a fully electric vehicle without any gasoline components. However, in the case of retrofitting a gasoline-powered vehicle into a battery-powered electric vehicle (EV), different approaches are used in an already running vehicle that can be converted into a fully functioning Electric Vehicle. This results in better recycling, environment-friendly usage of old vehicles, and a massive improvement in air pollution levels. A minimum amount of maintenance while owning an Electric Vehicle is a key factor where the automobile industry gains attention for buyers or customers. The conversion of traditional or conventional vehicles into fully functioning Electric Vehicles has gained preference in recent years. However, the components used in an Electric vehicle are to be discussed to fully assess the working of an EV in the process of this conversion. In this paper, we shall focus particularly on the implementation of such conversions and controlling of the electric vehicle through different types of Electric Vehicle Control. The functions of each component in an Electric Vehicle Controller or just a controller in general, show different approaches to communicating with each other to achieve an efficient range and performance of the particular electric vehicle. The relations between these components inside of an EV controller can be studied by their energy flow, circuitry, and their functions. Control Area Network (CAN) is also considered as a topology to determine the aforementioned working of each component. Fault diagnosis, charging status, and battery capacity status are some of the many factors that are applicable after installing a controller within the Electric Vehicle.

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“…However, since the thresholds and rules are set according to experience and are static, it is impossible to ensure its optimality or follow the dynamic changes of working conditions. In comparison, the control strategy based on fuzzy rules has better robustness and adaptability [9][10][11][12][13]. However, the establishment of fuzzy rules and the determination of membership functions still rely on experience, so the simple fuzzy control is not very adaptable to different driving conditions.…”

Section: A Litterature Reviewmentioning

confidence: 99%

“…Then when 1 ()   i fi is greater than the random number in [0, 1], the solution i P is accepted and is introduced into the speed update formula as the global optimal solution. That is, replace , () gj Pk in formula (6) with , ()  gj Pk , as shown in formula (9). , ,…”

Section: Yspso Algorithmmentioning

confidence: 99%

An Improved Energy Management Strategy for 24t Heavy-Duty Hybrid Emergency Rescue Vehicle With Dual-Motor Torque Increasing

Xue

Pan

et al. 2021

IEEE Access

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Emergency rescue vehicles are special equipment for fire, flood, earthquake and other disasters. They need to have high efficiency and high mobility under various terrain and road conditions. The fuel economy of emergency rescue vehicles is very poor in climbing and complex terrain due to the heavy weight of vehicle chassis and upper loading. The dual-motor torque increasing hybrid power system designed in this paper greatly improves the dynamic performance and mobility of emergency rescue vehicles, and the use of dual-motor drive in steep slopes and complex terrain can avoid the engine working in low efficiency area. In order to further improve the fuel economy of vehicles under various working conditions, a fuzzy logic control strategy based on improved particle swarm optimization (PSO) is proposed in this paper. The torques of engine and dual-motor are reasonably distributed under different working conditions. A novel fuzzy parameter optimization mode is designed, which reduces the workload of optimization calculation and ensures the optimization accuracy. The off-line simulation and hardware-inthe-loop experiments are carried out for the dual-motor torque increasing hybrid power system model and the proposed improved energy control strategy. The results show that the fuzzy logic control strategy optimized by simulated annealing particle swarm optimization algorithm (SimuAPSO-FLC) has the best effect and meets the requirements of high efficiency, high mobility and stability of the emergency rescue vehicle.INDEX TERMS Energy management strategy, SimuAPSO-FLC, 24t heavy-load hybrid emergency rescue vehicle, dual-motor torque increasing

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Energy management strategy based on fuzzy control for Plug-in Hybrid Electric Vehicles

Cited by 5 publications

References 13 publications

Design and Analysis of CAN Communication Network Applied in Hybrid Electric Vehicle

Design and Analysis of CAN Communication Network Applied in Hybrid Electric Vehicle

Methods of Implementation in an Electric Vehicle Conversion and Vehicle Controller: A Review

An Improved Energy Management Strategy for 24t Heavy-Duty Hybrid Emergency Rescue Vehicle With Dual-Motor Torque Increasing

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