Intelligent Battery Management in Electric Vehicles: A Comprehensive Review of AI Techniques | Chapter 02 | Engineering Research: Perspectives on Recent Advances Vol. 12

 

To reduce carbon emissions and tackle global environmental problems, the automotive sector has focused heavily on electric vehicles (EVs). However, the eventual deterioration of battery health and performance may adversely affect the efficiency of EVs. Due to their ability to accurately assess battery health, analyse faults, and control temperature for enhanced safety, reliability, and effective optimisation of EV performance, artificial intelligence (AI) techniques have garnered significant interest. This review investigates and evaluates the effects of AI techniques to improve the battery management system (BMS) of electric vehicles (EVs). A variety of methodologies are employed to perform a statistical analysis of relevant BMS papers. The statistical analysis assesses essential characteristics such as current research trends, keyword analysis, nation analysis, authorship, collaboration, publishers, and research classification. Moreover, a thorough examination of the goals, contributions, advantages, and disadvantages of advanced AI methods is provided. In addition, several key guidelines and recommendations are presented, along with a number of significant concerns and challenges, for potential future enhancement. Future researchers could utilise the statistical analysis as a guide to develop innovative BMS technologies for EVs that function and are managed sustainably.

 

Author(s) Details :-

 

Ashok Kumar Bandla
Department of CSE(AI&ML), Ramachandra College of Engineering, Eluru, A.P, India.

 

Y. Lavanya
Department of ECE, Ramachandra College of Engineering, Eluru, A.P, India.

 

D. Sai Prasanthi
Department of EEE, Ramachandra College of Engineering, Eluru, A.P, India.

 

G. Kaladhar
Department of EEE, St. Ann’s college of Engineering & Technology, Chirala, A.P, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/erpra/v12/6573

Power Industry Economics, Renewable Energy Systems, Electric Vehicles Engineering Design & Applications | Book Publisher International

The power industry is enriched by the presence of diverse generations, from fossil fuels to renewable energy. Energy crises from the depletion of fossil fuels have been an area of concern during the planning of a sustainable future. Energy economics, by meeting the supply and demand changes, opportunity costs, and shifting industry from fossil fuels to renewable energy, becomes the basis of research. Fully electric vehicles (EVs) comprise an electric motor driven by a set of battery packs. Their adoption is increasing the extent of decarbonization of the transportation and energy sector. Studies have documented that EVs reduce emissions by a significant proportion when compared to conventional internal combustion engine (ICE) automobiles. Limitations from charging infrastructure and prospects of higher operating voltage and power capacities to modeling a battery circuit using a transfer function model became a decision maker in integration with renewable energy power generation resources from solar and wind. Wind and solar energy are available per India’s wind speed and the solar map is the solution for increasing the renewable energy penetration into the power industry. Hydrogen production and storage to run fuel cell-based vehicles are feasible solutions per the MATLAB model and characteristics curves for the hydrogen output from the electrolyzer. Both fully electric vehicles and hydrogen-based fuel cell electric vehicles will decarbonize the market with reduced carbon emissions. The use of an integrated system of solar photovoltaics for generating hydrogen from an electrolyzer enhances the overall process and efficiency without depending on fossil fuels. The power industry benefits from engineering design in compliance with safety standards when implementing high-energy output charging stations. Additionally, major industry practices for the safe adoption of solar photovoltaics, wind turbines, electric vehicles, electric vehicle charging stations, hydrogen generation, hydrogen storage, and fuel cell-based electric vehicles become a motivator for this research work. For example, some jurisdictions across the globe have varying standards for the safety operability of electrical equipment where it is ensured that the users are exposed to limited electrical hazards without compromising the improved experience from shifting technology in the power and transportation industry.

 

Author (s) Details

 

Pravin Sankhwar
Michigan Technological University, United States.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49473-71-3

Addressing Slow Charging Concerns in Current Electric Vehicles: A Comprehensive Analysis | Chapter 1 | Science and Technology - Recent Updates and Future Prospects Vol. 1

 

This study investigates the challenges and potential solutions regarding the adoption of electric vehicles (EVs) amidst increasing pollution and climate change concerns. Through a comprehensive review of existing literature and analysis of survey data from 200 participants, this research sheds light on the factors influencing individuals' readiness to switch to EVs. Results indicate that while there is a growing trend towards EVs globally, significant barriers such as slow charging times hinder widespread adoption. The study explores the impact of battery size, charging infrastructure, and environmental factors on charging speed, proposing innovative solutions such as self-heating batteries and advanced charging technologies to overcome these challenges. By providing insights into the current state of EV adoption and suggesting strategies for improvement, this research contributes to the ongoing discourse on sustainable transportation and environmental conservation.

Author(s) Details:

Ashish Saji,
Keraleeya Samajam’s Model College, Dombivli East, Mumbai, Maharashtra, India.

Gauri Ansurkar
Keraleeya Samajam’s Model College, Dombivli East, Mumbai, Maharashtra, India.



Please see the link here: https://stm.bookpi.org/STRUFP-V1/article/view/14323