An improved speed-dependent battery/ultracapacitor hybrid energy storage system management strategy for electric vehicles

So, Kai Man; Hong, G.Y.; Lu, Wen Feng

doi:10.1177/09544070211014298

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…The results illustrate the validity of this method. So et.al studied the energy management strategy method of battery/SC HPS to fully utilize SC to protect the battery [26]. The results confirm that the battery life is prolonged by about 42% using this method.…”

Section: Introductionmentioning

confidence: 94%

Modeling and Simulation of a Battery/Supercapacitor Hybrid Power Source for Electric Vehicles

Chen,

Ren

2024

Int. J. Automot. Mech. Eng.

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Environmental protection and energy conservation have become highly concerning themes. In the transportation field, green electric vehicles (EVs) are rapidly being promoted and applied, and power sources, as one of the core technologies, greatly affect the working performances of EVs. Currently, a single battery power supply is the mainstream configuration for EVs, but the instantaneous/short-term high-power output required by the battery for vehicle working conditions has a serious impact on the service life of the battery. As an effective solution, the battery/super-capacitor (SC) hybrid power source (HPS) has attracted increasing attention. This article proposes an improved semi-active battery/SC HPS, which can achieve multiple operating modes and fully utilize the advantages of the two power sources to effectively protect the battery. A fitness function is established with the optimization objective of minimizing the HPS cost and the number of cells in SC and battery as control variables. A genetic algorithm (GA) is adopted to optimize the HPS configuration based on the power required of the New European Driving Cycle (NEDC) working condition. The optimized number of battery cells is 777, much smaller than the 1191 calculated based on theoretical formulas. Additionally, a logic threshold strategy is introduced to flexibly control the collaborative work of the two power sources and achieve effective energy management. The availability of the presented control method of HPS in various working modes is verified through MATLAB/Simulink-based modeling and simulation. This work provides a theoretical reference for the application research of HPS in EVs.

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Section: Introductionmentioning

confidence: 94%

Modeling and Simulation of a Battery/Supercapacitor Hybrid Power Source for Electric Vehicles

Chen,

Ren

2024

Int. J. Automot. Mech. Eng.

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“…In this regard, most of the research evaluated the hybrid battery and supercapacitor storage systems for electric vehicles [21][22]. It has been reported that the hybrid supercapacitor and battery storage system fulfills the peak power needs and extends the battery life [23][24][25][26]. In addition, hydrogen fuel cell storage, flywheel storage, and superconducting magnetic energy storage has been studied by many scientists.…”

Section: Overview Of Existing Storage Systems For Electric Vehiclesmentioning

confidence: 99%

Multicriteria Evaluation of Portable Energy Storage Technologies for Electric Vehicles

et al. 2022

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The conventional vehicles are a major cause of the greenhouse gases emissions in the global environment. Electric vehicles are a sustainable alternative to the conventional vehicles due to the negligible emissions and the possibility of the renewable energy integration. However, the electric vehicles require the separate storage systems and the selection of the proper storage system is a major concern in the electric vehicles markets. The storage system should be selected in a systematic and rational way. Hence, this paper evaluates the existing storage technologies for electric vehicles based on a multi-criteria decision making model. For this purpose, this paper performs a comprehensive literature review of the existing storage technologies for electric vehicles. Then, this paper evaluates the key storage technologies for electric vehicles based on the five criteria including cost, technical features, compatibility, technological maturity, and environment, health, and safety. These criteria and their sub-criteria were used in the development of an analytic hierarchy process (AHP) model. The proposed AHP model was solved using Super Decisions software. Results offer the various insights for the selection of a proper storage system for electric vehicles. In most of the cases, AHP model suggested the utilization of hybrid sodium-nickel chloride battery (SNCB) and supercapacitors (SC) for electric vehicles. Besides, the higher capital cost has been identified as the key barrier in the adoption several storage technologies such as lithium ion battery (LIB) and hydrogen fuel cells (HFC) storage.INDEX TERMS analytic hierarchy process (AHP), capital cost, electric vehicle, environmental sustainability, health and safety, multi-criteria decision making, renewable energy, storage technologies.

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A Research of Different Energy Management Strategies of Lithium-ion Battery-Ultracapacitor Hybrid Energy Storage System

Zhang,

Hu,

Tian

et al. 2024

Lecture Notes in Mechanical Engineering

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Given the exacerbating effect of fossil fuel use in conventional vehicles on the greenhouse effect, the imperative development of electric vehicle technology becomes evident. To address the high energy and power density demands of electric vehicles, a lithium-ion battery-ultracapacitor hybrid energy storage system proves effective. This study, utilizing ADVISOR and Matlab/Simulink, employs an electric vehicle prototype for modeling and simulating both logic threshold and fuzzy logic control strategies. It aims to analyze the average output power and state of charge (SOC) of the lithium-ion battery, as well as the SOC of the ultracapacitor, within hybrid energy storage systems governed by these differing strategies. The findings indicate that the fuzzy logic control strategy results in a reduction of 2.73 kW in the average output power of the lithium-ion battery and a 20% increase in the SOC drop rate of the ultracapacitor compared to the logic threshold control strategy. Under the logic threshold control strategy, lithium-ion batteries demonstrate superior output stability, albeit within a broader amplitude range. Conversely, the fuzzy logic control strategy maximizes the utilization of ultracapacitors but leads to frequent fluctuations in the output power of lithium-ion batteries, thereby exhibiting reduced stability. These results underscore the inherent trade-offs between stability and utilization efficiency in hybrid energy storage systems for electric vehicles under different control strategies. The selection of a control strategy should be contingent upon specific performance priorities and objectives within the context of electric vehicle design and operation.

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An improved speed-dependent battery/ultracapacitor hybrid energy storage system management strategy for electric vehicles

Cited by 8 publications

References 29 publications

Modeling and Simulation of a Battery/Supercapacitor Hybrid Power Source for Electric Vehicles

Modeling and Simulation of a Battery/Supercapacitor Hybrid Power Source for Electric Vehicles

Multicriteria Evaluation of Portable Energy Storage Technologies for Electric Vehicles

A Research of Different Energy Management Strategies of Lithium-ion Battery-Ultracapacitor Hybrid Energy Storage System

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