Multiobjective Optimal Predictive Energy Management for Fuel Cell/Battery Hybrid Construction Vehicles

Li, Tianyu; Liu, Huiying; Hui, Wang; Yao, Yongming

doi:10.1109/access.2020.2969494

Cited by 31 publications

(8 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A 315W-rated solar panel is analyzed based on the vehicle rooftop dimensions. This data-driven model enhances energy efficiency and sustainability [20,21]…”

Section: Reference Inputs and Their Ratingsmentioning

confidence: 99%

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Eragamreddy,

Naik

2024

IJEER

View full text Add to dashboard Cite

This paper includes the research work to investigate the optimization of electric vehicle (EV) range by integrating rooftop solar panels onto the vehicle. The primary motivation stems from the increasing power demand for EV charging, requiring substantial grid electricity production. The paper explores the installation of rooftop solar panels to augment the EV range with a single full charge, reducing the dependence on the grid. The simulations are conducted using MATLAB modeling, optimizing solar and grid charging schedules based on solar irradiation data. The outcomes showcase a 1.44 kWh battery integration with an EV equipped with a 1 kW BLDC motor, weighing 800 kg, including payload. The installation of Rooftop Solar Photovoltaic (RTSPV) improved the range of the vehicle with 18.65%, energy consumption is increased with 15.5%, Cost savings in charging the battery is up to 15.5% and travel distance with full charge is increased up to 19.6%. This analysis is made with the reference drive cycle shown in the paper. While the integration of solar panels significantly extends the vehicle range, the research emphasizes the potential for sustainable charging practices to mitigate grid dependence and reduce emissions.

show abstract

“…A 315W-rated solar panel is analyzed based on the vehicle rooftop dimensions. This data-driven model enhances energy efficiency and sustainability [20,21]…”

Section: Reference Inputs and Their Ratingsmentioning

confidence: 99%

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Eragamreddy,

Naik

2024

IJEER

View full text Add to dashboard Cite

show abstract

“…In the case of full-active and semi-active configurations, a two-step optimization method is used to define the best system size and power split [63,64]. The simultaneous optimization-based energy management and component sizing methods have been successfully implemented in previous works [65,66]. This is a plant/controller iterative optimization that consists of two nested optimization loops.…”

Section: Problem Definition and Two-level Optimizationmentioning

confidence: 99%

Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain

Macías

Kandidayeni

Boulon

et al. 2021

Energy

View full text Add to dashboard Cite

“…Li. T [9] developed a fuel cell lifetime model that accounts for cyclic load fluctuations.Yang Zhou [10] et.al. employed the duration time of four typical operating conditions to characterize the degradation and turned it into degradation cost.…”

Section: Introductionmentioning

confidence: 99%

A Hierarchical Optimizing Energy Management Strategy for Alleviating Degradation in Fuel Cell Hybrid System

Fu,

Xiang,

Zeng

et al. 2024

IEEE Access

View full text Add to dashboard Cite

This study designs an energy management strategy for fuel cell hybrid vehicles aimed to alleviating the performance degradation of Proton Exchange Membrane Fuel Cells (PEMFC), fuel consumption and battery State of Charge (SOC) fluctuations during vehicle operation. The research focuses on the decrease in Electrochemical Surface Area (ECSA) due to Platinum (Pt) catalysts degradation, which is a key factor influencing PEMFCs durability. An ECSA model based on the Pt dissolution mechanism is established, and a dynamic condition accelerated stress test (DC-AST) is designed to specifically investigate the impacts of key parameters, such as cycle period, amplitude, and duty cycle on the degradation of ECSA. This reveals the association between ECSA degradation and irregular potential fluctuations. A hierarchical power allocation strategy is then proposed, combining global search capabilities of optimization algorithms with heuristic strategies in light of these features. The upper level employs Pontryagin's Minimum Principle (PMP) strategy for global power allocation optimization, while the lower level uses a satisfaction-based heuristic strategy that is tailored to the ECSA degradation characteristics, to dynamically adjust power output. Simulation results demonstrate that, compared to traditional rule-based strategies and classical PMP based strategies, the proposed energy management strategy more effectively mitigates ECSA degradation of PEMFC under typical vehicle conditions.

show abstract

Multiobjective Optimal Predictive Energy Management for Fuel Cell/Battery Hybrid Construction Vehicles

Cited by 31 publications

References 43 publications

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Optimizing Electric Vehicle Range through Integrating Rooftop Solar on Vehicle

Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain

A Hierarchical Optimizing Energy Management Strategy for Alleviating Degradation in Fuel Cell Hybrid System

Contact Info

Product

Resources

About