Performance Evaluation and Control Strategy Comparison of Supercapacitors for a Hybrid Electric Vehicle

Wang, Enhua; Ouyang, Minggao; Zhang, Fujun; Zhao, Changlu

doi:10.5772/intechopen.80948

Cited by 3 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ICE and the generator work as the primary sources, and the EM only aids the ICE. This is used in series and parallels HEVs [25].…”

Section: Introductionmentioning

confidence: 99%

Energy Management Strategy for P1 + P3 Plug-In Hybrid Electric Vehicles

Zhang,

Shi,

Mou

et al. 2023

WEVJ

View full text Add to dashboard Cite

In order to simultaneously improve the fuel economy and overall performance of plug-in hybrid electric vehicles (PHEVs), this study selected the P1 + P3 configuration as its research object. Through a configuration analysis of hybrid vehicles, it confirmed the feasibility of P1 + P3 configuration-PHEV operating modes. Based on this, a rule-based control strategy was developed, and simulation models for the entire vehicle and control strategy were constructed in both Cruise and MATLAB/Simulink software. The study conducted simulation analysis by combining three sets of Worldwide Harmonized Light vehicles Test Cycle (WLTC) driving cycles to assess the fuel-saving potential of the dual-motor P1 + P3 configuration. The simulation results showed that the vehicle model was reasonably constructed and the proposed control strategy had good control effects on the entire vehicle. Compared to conventional gasoline vehicles, the P1 + P3 configuration PHEV achieved a 67.4% fuel economy improvement, demonstrating a significant enhancement in fuel efficiency with the introduction of electric motors.

show abstract

“…The ICE and the generator work as the primary sources, and the EM only aids the ICE. This is used in series and parallels HEVs [25].…”

Section: Introductionmentioning

confidence: 99%

Energy Management Strategy for P1 + P3 Plug-In Hybrid Electric Vehicles

Zhang,

Shi,

Mou

et al. 2023

WEVJ

View full text Add to dashboard Cite

show abstract

“…On the other hand, control systems are based on power demand, where the main input is the driver's power request, and the main goal of the electric engine is to guarantee adequate support to the thermal engine. The latter would always operate at optimal working points, while an electric motor will try to fulfill driver demands [11,12]. The most efficient version of rule-based EMS is the "multimode" strategy.…”

Section: Introductionmentioning

confidence: 99%

Influence of Energy Management System Control Strategies on the Battery State of Health in Hybrid Electric Vehicles

et al. 2022

View full text Add to dashboard Cite

Nowadays, the automotive market has showed great interest in the diffusion of Hybrid Electric Vehicles (HEVs). Despite their low emissions and energy consumptions, if compared with traditional fossil fuel vehicles, their architecture is much more complex and presents critical issues in relation to the combined use of the internal combustion engine (ICE), the electric machine and the battery pack. The aim of this paper is to investigate lithium-ion battery usage when coupled with an optimization-based strategy in terms of the overall energy management for a specific hybrid vehicle. A mathematical model for the power train of a Peugeot 508 RXH was implemented. A rule-based energy management system (EMS) was developed and optimized using real data from the driving cycles of two different paths located in Messina. A mathematical model of the battery was implemented to evaluate the variation of its voltage and state of charge (SOC) during the execution of driving cycles. Similarly, a mathematical model was implemented to analyze the state of health (SOH) of the battery after the application of electrical loads. It was thus possible to consider the impact of the energy management system not only on fuel consumption but also on the battery pack aging. Three different scenarios, in terms of battery usage at the starting SOC values (low, medium, and maximum level) were simulated. The results of these simulations highlight the degradation and aging of the studied battery in terms of the chosen parameters of the rule-based optimized EMS.

show abstract