Mhatre Abhidnya Sunil, Shukla Prashant
Mechanical Engineering, School of Advanced Engineering, UPES, Dehradun, 248007, India.
Environ Sci Pollut Res Int. 2024 Sep 6. doi: 10.1007/s11356-024-34865-8.
This review paper provides a comprehensive examination of energy harvesting technologies tailored for electric vehicles (EVs). Against the backdrop of the automotive industry's rapid evolution towards electrification and sustainability, the paper explores a diverse range of techniques. The analysis encompasses the strengths, weaknesses, applicability in various scenarios, and potential implications for the future of EVs. A key finding of the review highlights regenerative braking as a pivotal and highly efficient method for energy recovery, particularly in urban settings. In addition to extending battery life, regenerative braking significantly boosts energy efficiency of EVs. The paper also delves into the challenges associated with integrated solar energy systems, emphasizing issues related to efficiency and weather dependency. Kinetic energy recovery systems (KERS) are discussed for their substantial power boost during acceleration in both motorsports and road cars. Additionally, the review explores regenerative shock absorbers, which capture energy from suspension movement, enhancing ride comfort and increasing vehicle energy economy, especially on uneven terrain. The piezoelectric system, though intriguing, is found to have low power output from mechanical vibration, prompting further exploration for integration into EVs. However, complexities and cost considerations arise in their integration with the vehicle's suspension system.
这篇综述论文全面审视了为电动汽车(EV)量身定制的能量收集技术。在汽车行业迅速向电气化和可持续发展迈进的背景下,该论文探讨了多种技术。分析涵盖了这些技术的优点、缺点、在各种场景中的适用性以及对电动汽车未来的潜在影响。该综述的一个关键发现突出了再生制动是能量回收的关键且高效的方法,特别是在城市环境中。除了延长电池寿命外,再生制动还显著提高了电动汽车的能源效率。论文还深入探讨了与集成太阳能系统相关的挑战,强调了与效率和天气依赖性有关的问题。动能回收系统(KERS)因其在赛车运动和公路汽车加速过程中能大幅提升动力而被讨论。此外,该综述还探讨了再生减震器,其从悬架运动中捕获能量,提高乘坐舒适性并增加车辆能源经济性,特别是在不平坦地形上。压电系统虽然引人关注,但发现其从机械振动中输出的功率较低,这促使人们进一步探索将其集成到电动汽车中的方法。然而,在将其与车辆悬架系统集成时会出现复杂性和成本方面的考虑。