A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles

Wang, Bin; Xu, Jun; Cao, Binggang; Zhou, Xuan

doi:10.1016/j.jpowsour.2015.02.012

Cited by 104 publications

(60 citation statements)

References 27 publications

(25 reference statements)

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“…Thus, any cell can be selected or bypassed when in parallel connection. Similarly, the switch array matrix method, referred to as T 3 , has also been studied to achieve these functions [16,17]. This method is similar to T 2 , but fewer switches are needed.…”

Section: Existing Reconfigurable Methodsmentioning

confidence: 99%

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A Novel Method to Balance and Reconfigure Series-Connected Battery Strings

Cao

Wang

2016

Energies

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Cell failure and imbalance are critical problems in battery storage systems, especially in series-connected battery strings. The reconfiguration function and the balancing function are both of great importance, but it is very challenging and problematic to own both functions simultaneously. This paper attempts to make contributions on realizing both functions through new circuits and new control strategies. Firstly, a reconfigurable balancing circuit is proposed, which is able to simultaneously balance and reconfigure the battery string. In the circuits, a new way to achieve passive balancing with no bleeding resistor is realized, and the failure cells in the battery string can be bypassed with the same circuits. By taking advantage of fewer switches in the circuits, the method owns the merits of low cost and low system complexity. Secondly, to efficiently balance and reconfigure the battery string, a control strategy is proposed according to the unique structure of the circuits. Thirdly, the reconfigurable balancing circuits are fabricated and an experimental test workbench is established. The reconfigurable balancing circuits and the control strategy are validated in the experimental test workbench. The experimental results indicate that the proposed method is able to realize both the balancing function and the reconfiguration function well, and the performance of the battery string can be maintained and improved significantly. The improvements are 13% and 34% for 4 cell-and 100 cell-series-connected battery strings, respectively.

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Section: Existing Reconfigurable Methodsmentioning

confidence: 99%

“…Battery energy storage systems (BESSs) are frequently used in such applications [3][4][5]. To cope with the power and energy demands for such applications, a large number of battery cells, hundreds or even thousands, must be connected in series or in parallel.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method to Balance and Reconfigure Series-Connected Battery Strings

Cao

Wang

2016

Energies

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“…The fuel economy of developed algorithm is not better, compared to the general optimized algorithm. B. Wang [21] introduced the HESS and its energy management strategy for EVs. The energy management strategy improved by rule based control strategy and power balancing strategy and it used for realizing the power distribution and mode selection.…”

Section: Literature Surveymentioning

confidence: 99%

Power Management Strategy for Hybrid Energy Storage System in Hybrid Electric Vehicles

Komarappa¹,

Lakshmikantha²

2019

IJIES

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Energy Storage System (ESS) is an essential component in the Electric Vehicles (EVs) because of its high power and high energy density. In Hybrid Electric Vehicles (HEVs), the Hybrid ESS (HESS) is introduced to resolve the problem occurs due to single energy storage system. This HESS is utilized for achieving high power and energy simultaneously. In this paper, the HESS is used in HEVs to improve energy management over the vehicles. The HESS is the combination of battery and Ultra-Capacitor (UC). Here the Nickel-Metal Hydride (NiMH) battery is used as a primary energy source and UC is used as a secondary energy source. The energy management over the HEVs made by an effective Artificial Neural Network (ANN) based controller which is utilized for handling the charging and discharging operation of the ultra-capacitor. The operating mode of UC using ANN is mainly based on the State of Charge (SOC) from the battery at each iteration. The UC is on, when the SOC of the battery is less than 60%, it shows that the battery does not have the capacity to achieve the load requirement of Permanent Magnet Synchronous Motor (PMSM). The performance of the proposed system analysed in terms of speed, torque and current. Then it evaluated by using the system with ANN and without ANN. The motor speed and vehicle speed of the HEV with ANN at 70 Sec improved 8% and 9.38%, respectively compared to the HEV without ANN.

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“…In most of these applications, a battery management system (BMS) consisting of both hardware and software is necessary. A BMS must be sophisticated when applied to EVs, because it is responsible for not only operating the battery within a safe voltage window and balancing each cell during charging, but also for estimating the behavior of the battery, often including the current state of charge (SOC), state of power (SOP), and state of health (SOH) [3,4]. To accomplish these functions, a BMS requires a model that can predict the behavior inside the battery.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Lithium-Ion Anode Materials Using an Experimentally Verified Physics-Based Electrochemical Model

Fu¹,

Zhou

Fan

et al. 2017

Energies

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Abstract:Researchers are in search of parameters inside Li-ion batteries that can be utilized to control their external behavior. Physics-based electrochemical model could bridge the gap between Li+ transportation and distribution inside battery and battery performance outside. In this paper, two commercially available Li-ion anode materials: graphite and Lithium titanate (Li 4 Ti 5 O 12 or LTO) were selected and a physics-based electrochemical model was developed based on half-cell assembly and testing. It is found that LTO has a smaller diffusion coefficient (D s ) than graphite, which causes a larger overpotential, leading to a smaller capacity utilization and, correspondingly, a shorter duration of constant current charge or discharge. However, in large current applications, LTO performs better than graphite because its effective particle radius decreases with increasing current, leading to enhanced diffusion. In addition, LTO has a higher activation overpotential in its side reactions; its degradation rate is expected to be much smaller than graphite, indicating a longer life span.

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A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles

Cited by 104 publications

References 27 publications

A Novel Method to Balance and Reconfigure Series-Connected Battery Strings

A Novel Method to Balance and Reconfigure Series-Connected Battery Strings

Power Management Strategy for Hybrid Energy Storage System in Hybrid Electric Vehicles

Comparison of Lithium-Ion Anode Materials Using an Experimentally Verified Physics-Based Electrochemical Model

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