Perodua Myvi engine fuel consumption map and fuel economy vehicle simulation on the drive cycles based on Malaysian roads

Ramdan, Muhammad Iftishah

doi:10.1051/matecconf/20179001044

Cited by 2 publications

(2 citation statements)

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“…The mathematical model HHV is used to simulate the parameter optimisation using MOGA. The simulation runs on both city and highway drive cycles that originated from Malaysian roads in Alor Setar, Kedah [2]. Basically, the city drive cycle consists of 1738 s of low speed (maximum speed of 19.5 m/s) with high-frequency stop-and-go driving conditions.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…This situation forces automotive industries and researchers to explore alternative energy sources to minimise fuel consumptions through hybrid systems [1]. Alongside Hybrid Electric Vehicle (HEV) counterpart, Hybrid Hydraulic Vehicle (HHV) systems if combined with conventional ICEs could offer a promising saving in fuel consumption [2], [3]. In addition, HHV provides a quick recharge through a regenerative braking [3].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Hydraulic Vehicle Parameter Optimization using Multi-Objective Genetic Algorithm

Ramdan

2019

IJAME

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Parameter optimizations of HHV torque distribution must deal with conflicting objectives between the engine torque and fuel economy without compromising the vehicle driving quality. The torque generation from an internal combustion engine (ICE) is directly influenced by the amount of fuel burnt, hence cannot be solved using a classical single-objective optimization method. In this paper, multi-objective genetic algorithm (MOGA) is used to optimize the power split of a parallel hybrid hydraulic vehicle (HHV) that utilizes an ICE and a hydraulic motor. The simulation runs on three operating modes, engine only, power assist and regenerative modes to optimize two conflicting objectives, engine torque and fuel economy considering both highway and city drive cycles. Using a single unified formulation, a number of design objectives can be simultaneously optimized through a systematic search algorithm within a diverse parameter space. Simulation results have shown both objectives have good compromises that lie along the Pareto optimal front. In comparison, it is observed that there is a significant improvement on fuel economy for HHV as compared to a conventional ICE especially at low-torque operation when the hydraulic motor assists the vehicle for both highway and city drive cycles.

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Section: Simulation Resultsmentioning

confidence: 99%