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Abstract: An integrated parameter matching/energy management optimization method is proposed for active on-board Hybrid Energy Storage System (HESS). The optimization model with two indicators, HESS replacement costs and energy consumption, was set up and solved using controlled elitist NSGA-Ⅱalgorithm to obtain Pareto sets as alternatives.
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
Battery is considered as the most viable energy storage device for renewable power generation although it possesses slow response and low cycle life. Supercapacitor (SC) is added to improve the battery performance by reducing the stress during the transient period and the combined system is called hybrid energy storage
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 hybrid energy
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
A sensitivity analysis of energy storage system cost and objective weight was conducted. It is concluded that energy storage system cost had a significant effect on the annual profit and HESS would make a positive profit when the cost reduced by 75%. The optimization result was also significantly influenced by the objective weight distribution. (6)
In this article, a replaceable battery electric coupe SUV equipped with a lithium iron phosphate (LiFePO4) power battery is taken as the research object, and a vehicle dynamics simulation model is established on the MATLAB/Simulink platform. Parameter matching and control optimization for a hybrid energy storage system
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 selection of the economic index and the control strategy on the parameters matching cannot be ignored. This paper applies a
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
The results show that the proposed method can economically operate and optimal designed hybrid energy storage system provide important basis for the optimal control strategy.
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
In [53], a genetic algorithm (GA) was used to avoid describing the model of the system when selecting the energy storage type of parallel hybrid excavator and determining the optimal speed of ICE.
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.
3. Experimental3.1. Batteries and supercapacitors Modeling methodology was tested for two hybrid systems with two Li-ion chemistries and wide range of supercapacitors. The systems and their parameters are as follow: LFP/Supercapacitor - Lithium Iron Phosphate (LFP) 18650 size battery with 1500mAh capacity and 3.2 V
Semantic Scholar extracted view of "Energy management strategy of hybrid energy storage system for electric vehicles based on genetic algorithm optimization and temperature effect" by Chun Wang et al. Parameter Matching Method of a Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicles. Feng Liu Chun
The primary coverage of hybrid energy storage system parameter matching includes calculating power, capacitor and series number of batteries, and calculating the capacitor of supercapacitor cell and series number of supercapacitors. 2.1 Electric Power and Energy of EMT
Parameter matching and control optimization for a hybrid energy storage system (HESS) are conducted. Through a proven semiempirical cycle model of the LiFePO4 power battery, the operating cycle life model is derived and used to estimate the battery cycle life. Liu et al. proposed a HESS parameter-matching method that can
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 an energy storage source were defined. With the miniaturization of a composite energy storage system as the optimization goal, the linear programming
energy storage capacity of the key component accumulator which determined the ability of the PHHE system. 4. The Realization of Parameter Matching is paper practiced a parameter matching process for a - ton series excavator by considering the matching
Liu et al. proposed a HESS parameter-matching method that can meet the performance indicators of electric vehicles in terms of power and energy and achieve optimized parameter matching by reducing
Article Parameter Matching Method of a Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicles Fengchen Liu, Chun Wang * and Yunrong Luo Citation: Liu, F.; Wang, C.; Luo, Y
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 an energy storage source were defined. With the
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
Mathematical Programming, 2003, 95 (2):189-217. A fast parameter matching method for hybrid energy storage system applied to electric vehicle is proposed, optimizing HESS parameters and corresponding energy management strategy simultaneously. In order to avoid computation burden/suboptimal problems when solving this optimization problem
This article proposes a new model predictive control (MPC) strategy for the energy management of a battery-supercapacitor (SC) hybrid energy storage system (HESS) for electric vehicle (EV) applications. First, linear parameter-varying (LPV) models of the HESS are developed, which account for battery parameter variations along its
Jiang XY, Hu JJ, Jia MX, et al. Parameter matching and instantaneous power allocation for the hybrid energy storage system of pure electric vehicles. Energies 2018; 8: 19–33. Google Scholar
Therefore, aiming at the demand of braking energy recovery of NTE150 hybrid electric mine truck, this paper studies the parameter matching problem of the mining truck with the power battery and supercapacitor as composite power supply. Firstly, the parameter matching method of the composite power supply according to rules is given.
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;
Download scientific diagram | Conditional constraints of parameter matching. from publication: Parameter Matching Methods for Li Battery–Supercapacitor Hybrid Energy Storage Systems in Electric
Wang et al. used the recursive least square method and filter-based method to identify the model parameters of the hybrid energy storage system [5]. Sauer et al. revealed the mechanism of battery aging through non-invasive experiments [ 6 ], studied the external stress that affected battery aging [ 7 ], and established a variety of
The results show that the proposed method can economically operate and optimal designed hybrid energy storage system provide important basis for the optimal control strategy. It is the consensus of the world that mass penetration of battery electric vehicles (BEVs) is the main solution to urban air pollution.
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
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
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