Design of an Energy Management Strategy for a Parallel Hybrid Electric Bus Based on an IDP-ANFIS Scheme

Tian, Xiang; Ren, He; Xu, Yiqiang

doi:10.1109/access.2018.2829701

Cited by 25 publications

(11 citation statements)

References 32 publications

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“…The most widely used intelligent optimization algorithms mainly include genetic algorithm [24][25][26], simulated annealing (SA) algorithm [27], particle swarm optimization (PSO) algorithm [14,[28][29][30][31][32], and other intelligent optimization algorithm strategies. In addition, the neural network, working condition recognition, machine learning and other technologies are used to design energy management strategies [33][34][35][36][37][38][39]. The above algorithms have their own advantages, but there are still some spaces for improvement, including the setting of optimization parameters and optimizing strategies.…”

Section: A Litterature Reviewmentioning

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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Section: A Litterature Reviewmentioning

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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“…In, (Khayyam and Bab-Hadiashar 2014) EMS based on the genetic algorithm tuned by PMP has been used for energy ow management to maximize the fuel economy. In (Tian et al 2018) the adaptive intelligent energy management system of PHEV has been carried out based on various parameters like driving cycle slope, air conditioner power consumption, blower power consumption, wind speed etc. and the fuel consumption was minimized.…”

Section: Motivationmentioning

confidence: 99%

WITHDRAWN: The efficient operating parameters estimation for a simulated plug-in hybrid electric vehicle

singh¹,

Khandelwal²,

Bansal³

et al. 2021

Preprint

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Battery replacement and fuel costs are the major recurring costs over a lifetime for HEVs. Here, the authors attempt to identify the optimal operating points for the minimum and maximum state of charge (SoC) along with power ratings of the motor and fuel converter to increase the battery life and fuel economy without any detrimental effect on vehicle performance. The simulations have been carried out on Ford C-Max Energi (2016) as a representative for PHEVs based on the Urban Dynamometer Driving Schedule (UDDS) and Highway (HWY) driving cycles. The software used for these simulations is the Future Automotive Systems Technology Simulator (FASTSim), developed by the National Renewable Energy Laboratory (NREL). The optimal determined values of the parameters led to a 3.8% reduction in the present value of the lifetime cost while improving the battery lifetime by over 18%. At the same time, a 4.3% improvement in the driving range have also been observed. This study will help in achieving optimal cost reduction in these vehicles.

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“…In [311] is presented a scheduling approach for a single depot comprising a mixture of electric and diesel buses, aiming to minimize the operating cost and carbon emissions using constraints of time between travels and driving range of the electric buses. At the powertrain level, in [312] is studied the design of an energy management system for a hybrid electric bus and in [313] is studied the energy management system of a dual-machine fully electric bus. Due to their fixed routes, electric buses are especially predisposed to the implementation of IWPT functionalities.…”

Section: Electric Busesmentioning

confidence: 99%

A Review on Power Electronics Technologies for Electric Mobility

et al. 2020

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Concerns about greenhouse gas emissions are a key topic addressed by modern societies worldwide. As a contribution to mitigate such effects caused by the transportation sector, the full adoption of electric mobility is increasingly being seen as the main alternative to conventional internal combustion engine (ICE) vehicles, which is supported by positive industry indicators, despite some identified hurdles. For such objective, power electronics technologies play an essential role and can be contextualized in different purposes to support the full adoption of electric mobility, including on-board and off-board battery charging systems, inductive wireless charging systems, unified traction and charging systems, new topologies with innovative operation modes for supporting the electrical power grid, and innovative solutions for electrified railways. Embracing all of these aspects, this paper presents a review on power electronics technologies for electric mobility where some of the main technologies and power electronics topologies are presented and explained. In order to address a broad scope of technologies, this paper covers road vehicles, lightweight vehicles and railway vehicles, among other electric vehicles.

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Design of an Energy Management Strategy for a Parallel Hybrid Electric Bus Based on an IDP-ANFIS Scheme

Cited by 25 publications

References 32 publications

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

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

WITHDRAWN: The efficient operating parameters estimation for a simulated plug-in hybrid electric vehicle

A Review on Power Electronics Technologies for Electric Mobility

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