Optimal Design of a Hybrid Energy Storage System in a Plug-In Hybrid Electric Vehicle for Battery Lifetime Improvement

Bai, Yang; Li, Shuangqi; He, Haibo; Santos, Ricardo Caneloi dos; Yang, Qingqing

doi:10.1109/access.2020.3013596

Cited by 65 publications

(44 citation statements)

References 44 publications

(40 reference statements)

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“…This can happen by converting the previous objective function in a quadratic form in terms only on U . By substituting Equations (11) into Eq. 12, the resulting objective function will be as following:…”

Section: Mpc Control Design For the Energy Storage Systemmentioning

confidence: 99%

“…The existing microgrids primarily depend on huge synchronous generators for regulating the frequency by the adjustment of their active output power. The combination of the ESS and large EVs fleets can be utilized in regulating the frequency of the system rather than using huge synchronous generators through a proper control strategy for battery charge and discharge [11]. The complexity of control will increase dramatically provided the increase in the share of ESS and the rise in the number of EVs.…”

Section: Introductionmentioning

confidence: 99%

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Frequency Regulation of an Isolated Microgrid With Electric Vehicles and Energy Storage System Integration Using Adaptive and Model Predictive Controllers

et al. 2021

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Energy storage system (ESS) possesses tremendous potential to counter both the rapid growth of intermittent renewable energy resources (RESs) and provide frequency support to the microgrid (MG). Since the deployment of ESS has overcome the imbalance between generation and consumption, however, their massive cost, as well as degradation tendency, are the restricting considerations that demand alternative solutions to provide stable microgrid operation. To assist ESS, the electric vehicles (EVs) are incorporated into the system. EVs have been gradually commercially viable and considerable focus has been paid to vehicle-to-grid technologies. Appropriate collaboration between ESS and EVs has good capability to manage the frequency irregularities to ensure the efficient operation of the MG. This article presents a novel combination of two control techniques i.e., model predictive control (MPC) and adaptive droop control (ADC), to tackle the frequency regulation issue in the isolated MG, by effectively controlling the ESS and EVs during the large-scale integration of RESs or huge change in load demand. Firstly, the MPC regulates the ESS according to the system frequency deviation, and secondly, the ADC manages the power of EVs according to system specifications by retaining the least possible power for potential usage of EVs. Moreover, an advanced genetic algorithm is applied to tune the MPC and ADC parameters in order to achieve optimized performance. An isolated MG is modeled and verified in MATLAB/Simulink using the above-mentioned control techniques. Further, different case studies are taken into account to validate the combination of ADC and MPC for frequency regulation of an isolated MG. Additionally, the proposed MPC controller is compared with fuzzy logic proportional-integral (FPI) controller and proportional-integral (PI) controller, the MPC provides better performance results as compared with FPI and PI controllers. INDEX TERMS Electric vehicles, adaptive droop control, energy storage system, model predictive control, frequency regulation, GA optimization technique.

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Section: Mpc Control Design For the Energy Storage Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency Regulation of an Isolated Microgrid With Electric Vehicles and Energy Storage System Integration Using Adaptive and Model Predictive Controllers

et al. 2021

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“…Moreover, to obtain the overall optimized system model exclusive model for supercapacitor is required [5]. The Fractional Order PID (FOPID) and PID controller are used to obtain the microgrid applications closed-loop operation.…”

Section: Literature Surveymentioning

confidence: 99%

Study and Investigation of Energy Management Techniques Used in Electric/Hybrid Electric Vehicles

Ramineni¹,

Pandian²

2021

JESA

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Many pollution-related issues are raising due to the usage of conventional internal combustion engines (ICEs) vehicles. Electric Vehicles/ Hybrid electric vehicles (EVs/HEVs) are the finest solutions to overcome those problems associated with ICE-based vehicles. The EVs are introduced with a signal energy source (SES), which is not a successful attempt, especially during transient vehicles, driving, etc. Multiple energy sources (MES) EVs are introduced to attain better performance than the SES vehicles, which is obtained by combining two sources like battery/fuel cells, ultracapacitor. In this contest, energy management (EMNG) plays a vital role in sharing the load to the sources as per the EVs requirement. In the case of MES-based EVs, the controller always plays a significant role in the related EMNG system because it is the key factor in improving vehicle efficiency. In this article, a study has mainly been done related to several conventional, intelligent controllers and control algorithms to do the proper EMNG between sources present in the EV.

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“…Over years, the hybrid energy storage system has been developed with a strong prospect of enhancing the economic performance of PHEV, particularly power electronics and supercapacitor (SC) technology [8,16,17]. The lifespan of a SC is longer, as it has a much higher power density, allowing it to have an efficient energy output [18,19]. The rule-based energy management strategy is proposed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Sizing and Power Distribution Strategy for Hybrid Energy Storage System

Wei

et al. 2021

Automot. Innov.

Self Cite

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This paper proposes a hierarchical sizing method and a power distribution strategy of a hybrid energy storage system for plug-in hybrid electric vehicles (PHEVs), aiming to reduce both the energy consumption and battery degradation cost. As the optimal size matching is significant to multi-energy systems like PHEV with both battery and supercapacitor (SC), this hybrid system is adopted herein. First, the hierarchical optimization is conducted, when the optimal power of the internal combustion engine is calculated based on dynamic programming, and a wavelet transformer is introduced to distribute the power between the battery and the SC. Then, the fuel economy and battery degradation are evaluated to return feedback value to each sizing point within the hybrid energy storage system sizing space, obtaining the optimal sizes for the battery and the SC by comparing all the values in the whole sizing space. Finally, an all-hardware test platform is established with a fully active power conversion topology, on which the real-time control capability of the wavelet transformer method and the size matching between the battery and the SC are verified in both short and long time spans.

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Optimal Design of a Hybrid Energy Storage System in a Plug-In Hybrid Electric Vehicle for Battery Lifetime Improvement

Cited by 65 publications

References 44 publications

Frequency Regulation of an Isolated Microgrid With Electric Vehicles and Energy Storage System Integration Using Adaptive and Model Predictive Controllers

Frequency Regulation of an Isolated Microgrid With Electric Vehicles and Energy Storage System Integration Using Adaptive and Model Predictive Controllers

Study and Investigation of Energy Management Techniques Used in Electric/Hybrid Electric Vehicles

Hierarchical Sizing and Power Distribution Strategy for Hybrid Energy Storage System

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