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Sizing Scheme of Hybrid Energy Storage System for Electric Vehicle

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Iranian Journal of Science and Technology, Transactions of Electrical Engineering Aims and scope Submit manuscript

Abstract

Energy storage system (batteries) plays a vital role in the adoption of electric vehicles (EVs). Li-ion batteries have high energy storage-to-volume ratio, but still, it should not be charged/discharged for short periods frequently as it results in degradation of their state of health (SoH). To resolve this issue, a conventional energy storage system (ESS) is being replaced by hybrid ESS (HESS). The requirement of high-voltage energy sources is increasing with the increasing number of performance based EVs. High-voltage storages are usually difficult to design due to the involvement of higher rating devices; hence, there is a need to create a method to modularize the storage. Modularization can be implemented using lower rating converters to decouple the ultra-capacitors (UCs) and batteries from the load, reducing the cost of storage. This article proposes a fully active series–parallel HESS topology which uses a set of UCs deployed in conjunction with the batteries. UCs provide the advantage of quick and frequent charging/discharging without degrading the battery SoH and are also used to absorb most of the energy generated due to regenerative braking. The major source of energy is Li-ion cells which provide the energy required to run the vehicle, whereas the UCs will provide above-average energy required by the motor. The proposed topology is managed by rule-based energy management systems (EMS), which considers pre-decided threshold parameters of various storage devices. Firstly, a power-based method to find the specifications of UCs and batteries is described which provides specifications for ESS hybridization. The proposed method, which is based on the prescribed set of limiting values of current and voltages, tries to maintain the UC voltage and battery current within range. This method reduces the above-average peaks of the required current from the batteries. Similarly, while recharging due to the regenerative braking, the proposed method removes the above-average peaks of the charging current of UCs. The proposed topology along with the EMS provides better state of charge (SoC) levels, giving a 38.6% increase in SoH levels of the batteries.

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Abbreviations

BEV:

Battery electric vehicle

BMS:

Battery management systems

C int :

Internal Capacitor

C ext :

External capacitor

C residue :

Residual charging capacity

C Specified :

Specified/designed charging capacity

E UC :

Energy requirements from capacitors

EMS:

Energy management system

ESS:

Energy storage system

EV:

Electric vehicle

FPGA:

Field-programmable gate array

H:

Represents HIL results in figures

HEV:

Hybrid electric vehicles

HESS:

Hybrid energy storage systems

HIL:

Hardware in loop

I BM :

Current rating of a battery module

I Li−cell :

Current rating of a LiFePO4 cell

ICE:

Internal combustion engine

I2R:

Loss of energy as heat due to resistance

LiFePO4 :

Lithium iron phosphate

Li ion:

Lithium ion

N :

Number of UC cells per modules

N BP :

Number of LiFePO4 cell in parallel

N BS :

Number of LiFePO4 cell in series

N UCex :

Number of UC modules in external UC

N UCint :

Number of UC modules in internal UC

PHEV:

Plug-in hybrid electric vehicle

R int :

Internal resistance of LiFePO4 cell

RUL:

Remaining useable life

s:

Seconds

S:

Represents MATLAB simulation results in figures

SC:

Supercapacitors

SoC:

State of charge

SoH:

State of health

V C :

Voltage rating of a LiFePO4 cell

V BM :

Nominal voltage of a battery module

V UCM :

Nominal voltage of a UC module

V Li−cell :

Nominal voltage of a LiFePO4 cell

VUCext :

Nominal voltage of external UC module

VUCint :

Nominal voltage of internal UC module

UC:

Ultracapacitors

XEV:

Any type of electric vehicle—PHEV/HEV/BEV

W Li−cell :

Watt rating of a LiFePO4 cell

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Acknowledgement

The authors would like to acknowledge FIST‐Program from the Department of Science and Technology (DST), New Delhi, India (Project SR/FST/ETI‐346/2013), for their support in procuring MicroLabBox controller to carry out this work.

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Correspondence to Krishna Veer Singh.

Appendices

Appendix 1

See Table 3

Table 3 Vehicle parameters

The SoC of battery is defined as the normalized range between the 20% and 80% nominal voltage level of the battery. Let the nominal voltage of battery be \(V_{{{\text{nom}}}}\).

Therefore, minimum voltage becomes:

$$V_{\min } = 0.2 \times V_{nom}$$
(15)

And the maximum voltage becomes:

$$V_{\max } = 0.8 \times V_{nom}$$
(16)

Hence, the SoC is formulated as:

$$SoC = \frac{{V - V_{\min } }}{{V_{\max } - V_{\min } }}$$
(17)

where V is real-time voltage of the battery.

Similarly, the SoC of UCs is defined as normalized range between 0 and 100% nominal voltage level of UCs.

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Shende, V., Singh, K.V., Bansal, H.O. et al. Sizing Scheme of Hybrid Energy Storage System for Electric Vehicle. Iran J Sci Technol Trans Electr Eng 45, 879–894 (2021). https://doi.org/10.1007/s40998-021-00416-x

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  • DOI: https://doi.org/10.1007/s40998-021-00416-x

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