A comprehensive review on the state-of-the-art of piezoelectric energy harvesting

In the charging and discharging process of new energy vehicles, how to maintain power battery within optimum operating temperature range, reduce the peak temperature and temperature difference, which is a problem needs to be paid attention to. Proper cooling technology can reduce the negative influence of temperature on battery pack, effectively improve power battery efficiency, improve the safety in use, reduce the aging rate, and extend its service life. In this context, several battery thermal management systems(BTMS) are reviewed, including air cooling BTMS, liquid cooling BTMS and refrigerant direct cooling BTMS in traditional battery thermal management system; phase change material-based BTMS, heat pipe-based BTMS and thermoelectric element-based BTMS in new battery thermal management system. In order to reduce negative influence of excessive temperature on the battery pack, and to seek feasible solutions for BTMS in future development, the above six power battery cooling technologies are discussed. Summarize the research emphases and research progress of different BTMS at present. Objectively evaluate the advantages and disadvantages of each BTMS. Considering actual working conditions, the installation feasibility, as well as economic benefits of each BTMS, then discuss proper solutions, and predict future development trends reasonably. Finally, analyze and discuss the differences and gaps between traditional and new BTMS. Providing a reference for designing the best BYMS solution. Ensuring the battery is in the optimum operating temperature range, maintain the BTMS stable operation, and improve battery conversion efficiency, providing valuable solutions for the BTMS research in the future.

Research progress on power battery cooling technology for electric vehicles

Rotational energy harvesting for self-powered sensing

Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives

In this article, wave propagation characteristics of a size-dependent laminated composite nanostructure coupled with a piezoelectric actuator (PA) is investigated. In order to consider the effects ...

Wave propagation analysis of the laminated cylindrical nanoshell coupled with a piezoelectric actuator

Dual-purpose cooling plate for thermal management of prismatic lithium-ion batteries during normal operation and thermal runaway

Intelligent tires can be used in autonomous vehicles to insure the vehicle safety by monitoring the tire and tire-road conditions using sensors embedded on the tire. These sensors and their wireless communication systems need to be powered by energy sources such as batteries or energy harvesters. The deflection of tires during rotation is an available and reliable source of energy for electric power generation using piezoelectric energy harvesters to feed tire self-powered sensors and their wireless communication systems. The aim of this study is to design, analyze, and optimize a rainbow-shaped piezoelectric energy harvester mounted on the inner layer of a pneumatic tire for providing enough power for microelectronics devices required for monitoring intelligent tires. It is shown that the designed piezoelectric energy harvester can generate sufficient voltage, power, and energy required for a tire pressure monitoring system (TPMS) with high data transmission speed or three TPMSs with average data transmission speed. The effect of the vehicle speed on the voltage and electric energy generated by the designed piezoelectric is also studied. The geometry and the circuit load resistance of the piezoelectric energy harvester are optimized in order to increase the energy harvesting efficiency. It is shown that the optimized rainbow piezoelectric energy harvester can reach the highest power generation among all the strain-based energy harvesters that partially cover the inner layer of the tire.

A Rainbow Piezoelectric Energy Harvesting System for Intelligent Tire Monitoring Applications

Design, modeling, and analysis of a high performance piezoelectric energy harvester for intelligent tires

Machine learning-based model for lithium-ion batteries in BMS of electric/hybrid electric aircraft

The aim of this study is to design a new dynamic mechanical analysis (DMA) measurement system that can operate for shear tests at frequencies as high as 10 kHz with strain amplitudes sufficient for viscoelastic materials operating in high-frequency deformation applications, such as tire rubbers. The available DMA systems in market cannot effectively operate for accurate and direct measurement of viscoelastic material properties for applications dealing with high-frequency deformation of materials. Due to this, the available DMA systems are used for indirect measurements at low frequencies and low temperatures, followed by using time-temperature superposition principle to predict the properties at high frequencies. The goal of this study is to make the range of the test broad enough to eliminate the use of the time-temperature superposition principle in the determination of properties of viscoelastic materials. Direct measurement of viscoelastic material properties and increasing the accuracy of results are the main motivations to design a new DMA system. For this purpose, the state-of-the-art technologies to achieve high frequencies and strain amplitudes as well as instrumentation and control of the system are studied. The design process is presented in this paper.

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Roja Esmaeeli

Papers

Dual-purpose cooling plate for thermal management of prismatic lithium-ion batteries during normal operation and thermal runaway

A Rainbow Piezoelectric Energy Harvesting System for Intelligent Tire Monitoring Applications

Design, modeling, and analysis of a high performance piezoelectric energy harvester for intelligent tires

Machine learning-based model for lithium-ion batteries in BMS of electric/hybrid electric aircraft

Designing a New Dynamic Mechanical Analysis (DMA) System for Testing Viscoelastic Materials at High Frequencies