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energies Article Parameter Matching and Instantaneous Power Allocation for the Hybrid Energy Storage System of Pure Electric Vehicles Xingyue Jiang 1, Jianjun Hu 1,2,*, Meixia Jia 1 and Yong Zheng 1 1 State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China;
Oil shortages and environmental pollution are attracting worldwide attention incrementally. Hybrid falls within one of the effective techniques for those two problems. Taking the loader with high energy consumption and high emission as the target, combined with the hydraulic hybrid technology with high power density and strong energy storage
A novel series hybrid hydraulic excavator based on electro-hydraulic composite energy storage, which provides the average power of the system through the diesel engine, and the battery and accumulator are used as the intermediate energy storage devitalize the output current of the battery, and improve the service life of theattery, is proposed. Traditional
In order to obtain better energy and power performances, a combination of battery and supercapacitor are utilized in this work to form a semi-active hybrid energy storage system (HESS).
In order to complete the reasonable parameter matching of the pure electric vehicle (PEV) with a hybrid energy storage system (HESS) consisting of a battery pack and an ultra-capacitor pack, the impact of the
A battery has normally a high energy density with low power density, while an ultracapacitor has a high power density but a low energy density. Therefore, this paper has been proposed to associate more than one storage technology generating a hybrid energy storage system (HESS), which has battery and ultracapacitor, whose objective
Aiming at the parameters of the different displacements and related components of the variable-displacement asymmetric axial piston pump (VAPP) required by the energy-recovery system of excavator booms of different tonnages, a rapid multi-process parallel optimization method of complex hydraulic products based on a multi-core CPU
A parameter matching method of battery-supercapacitor HESS for electric vehicles (EVs) is proposed. This method can meet the performance indicators of EVs in terms of power and energy for
energy-recovery systems reached 29.8%, 35.3%, 31.25%, and 27.88%, respectively. In the eight-core CPU workstation under the simulation conditions, compared with the Simulation X platform
It is the consensus of the world that mass penetration of battery electric vehicles (BEVs) is the main solution to urban air pollution. At present, the battery electric vehicles use lithium ion battery as energy storage system. However, the current performance of energy, power and durability for lithium battery still cannot fully meet the
The results show that following the parameters matching principle, the hybrid energy storage source which is made up of battery and ultracapacitor can meet the double requirements for power and
To satisfy the high-rate power demand fluctuations in the complicated driving cycle, electric vehicle (EV) energy storage systems should have both high power density and high energy density. In order to obtain better energy and power performances, a combination of battery and supercapacitor are utilized in this work to form a semi-active
World Electr. Veh. J. 2021, 12, 253 2 of 11 the past decades, many different parameter matching methods have been presented in the literature. Grün T, et al. [11] discussed the performances of a pure lithium-ion battery energy storage system and an HESS in the
Matching principles provide a general approach to devise optimally the parameters of energy storage elements. On the one hand, one can obtain both desirable transients and small ripples for a preliminary DC/DC converter without bothering the advanced controller.
In particular, we provide a deep look into the matching principles between the positive and negative electrode, in terms of the scope of the voltage window, the kinetics balance between different type electrode materials, as well as the charge storage
FIGURE 25. Working principle diagram of a novel power system simulation loading experiment platform. - "Parameter Matching and Control of Series Hybrid Hydraulic Excavator Based on Electro-Hydraulic Composite Energy Storage" DOI: 10.1109/ACCESS.2020.2999620
：(Hybrid energy storage system, HESS),
A real-time adaptive energy management strategy (EMS) used a model-based predictive control algorithm that continuously adapted to the changing driving patterns and traffic conditions. With battery
The Optimal Parameters Matching of Hybrid Energy Storage System for Battery Electric Vehicle Abstract: It is the consensus of the world that mass penetration of battery electric
radation rate of battery by at least 31.1% when compared with the parameter matching result of the hybrid energy storage system based on the equivalent calculation approach [25]. Zhang et al. proposed an improved genetic algorithm based on adaptive
In order to improve the efficiency of hybrid power system applied in hydraulic excavator, a parameter matching method was developed to optimize the power system. Structure, working condition and control strategy of the hybrid power system applied in hydraulic excavator were analyzed. Then, a parameter matching method based on optimization
To achieve optimal power distribution of hybrid energy storage system composed of batteries and supercapacitors in electric vehicles, an adaptive wavelet
MathematicalProblems in Engineering algorithm was used for optimization to acquire more precise and suitable parameters of the components in the PHHE system. 2. Description of the Hydraulic Hybrid
DOI: 10.1109/ACCESS.2020.2999620 Corpus ID: 220071577 Parameter Matching and Control of Series Hybrid Hydraulic Excavator Based on Electro-Hydraulic Composite Energy Storage @article{Wang2020ParameterMA, title={Parameter Matching and Control of
The optimal approach of parameter matching for HESS was proposed under the typical cycle condition. Under the premise of satisfying the energy demandand power demand of
Abstract: In order to complete the reasonable parameter matching of the pure electric vehicle (PEV) with a hybrid energy storage system (HESS) consisting of a battery pack
Abstract: The parameter matching of composite energy storage systems will affect the realization of control strategy. In this study, the effective energy and power utilizations of
The fundamental principle behind HESDs is to reach the common goal of high energy density and power density simultaneously. HESDs can be classified into two
The results show that the PHHL with the optimization scheme can achieve 9.12% fuel saving, which is on the brink of the potential of brake energy recovery and verifies the feasibility of applying hydraulic hybrid technology on the loader. Oil shortages and environmental pollution are attracting worldwide attention incrementally. Hybrid falls
2.3 3.7 Parameter Matching Method of a Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicles Fengchen Liu, Chun Wang and Yunrong Luo Special Issue Towards Intelligent E-Mobility—Selected Papers from The 34th International Electric
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