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Research Article

Investigation of performance and technical assessments of hybrid source electric vehicles under different locations and driving conditions

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Pages 535-554 | Received 30 Nov 2022, Accepted 24 Mar 2023, Published online: 18 Apr 2023
 

ABSTRACT

Sustainable transportation is a significant concept followed by nations implementing Nationally Determined Contributions (NDCs) that reduce emissions and adapt to climate change impacts. Electric vehicle (EV) adoption has accelerated; however, a trade-off exists between EV adoption and EV batteries-Battery charging from the grid (conventional energy sources) and e-wastes from retired batteries deposited in landfills. Thus, EVs associated with renewable energy sources (RES) are an alternate solution. This paper proposes a hybrid source electric vehicle (HSEV) with a high energy-dense supercapacitor (SC) as the primary source and PV energy as the secondary source. An energy management algorithm (EMA) with a modified controller is implemented in a Matlab/Simulink environment. Analysis of HSEV under varying locations (Australia, India, and Scotland), driving profiles (WLTP class-1, IDC, and ECE), and driving times (daytime, nighttime) highlights the importance of the proposed EMA. Grid charging instants are reduced to 3 times per month in Australia under WLTP class-1 cycle employing PV energy. Moreover, SC degradation is least compared to the lithium-ion battery in a BEV (Battery Electric Vehicle), hence avoiding the chances of maintenance and replacements. The proposed HSEV exhibits improved performance compared to BEVs of a similar type under different locations, driving, and environmental conditions.

Nomenclature

3W=

Three-wheeler

Ah=

Ampere hour throughput

BEV=

Battery electric vehicle

BMS=

Battery management system

Cr=

Charge/discharge rate

D=

Minimum EV driving range

DDay=

Average traveled distance in a day (km)

DOD=

Depth of discharge

EM=

Energy Management

EMA=

Energy management algorithm

EMS=

Energy management strategies

FCEV=

Fuel cell electric vehicle

HESS=

Hybrid energy storage system

HSEV=

Hybrid source electric vehicles

MPPT=

Maximum power point tracking

NDC=

Nationally Determined Contribution

OCV=

Open circuit voltage

PO=

Perturb and observe

PV=

Photovoltaic

QlossD=

Capacity loss at each distance

R=

Gas constant- 8.314 J/mol K

RES=

Renewable energy sources

SC=

Supercapacitor

SDS=

Sustainable Development Scenario

SOCSC=

SC state of charge

T=

Absolute temperature in Kelvin

TCO=

Total cost of ownership

WLTP=

Worldwide Harmonized Light Vehicles Test Procedure

z=

Power law factor-0.828

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research received no external funding.

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