Random search in energy management strategy (EMS) for hybrid electric vehicles

• Main Authors: Muhammad Syahmi, Ghazali, Muhammad Ikram, Mohd Rashid
• Format: Book Section
• Language: English; English; English
• Published: Springer Singapore 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/22661/2/14.1%20Random%20search%20in%20energy%20management%20strategy.pdf; http://umpir.ump.edu.my/id/eprint/22661/13/39.%20Random%20search%20in%20Energy%20Management%20Strategy%20%28EMS%29%20for%20hybrid%20electric%20vehicles.pdf; http://umpir.ump.edu.my/id/eprint/22661/14/39.1%20Random%20search%20in%20Energy%20Management%20Strategy%20%28EMS%29%20for%20hybrid%20electric%20vehicles.pdf; http://umpir.ump.edu.my/id/eprint/22661/; https://link.springer.com/chapter/10.1007/978-981-13-3708-6_19

The aim of this project is to optimize the total energy used (summation fuel and electricity) from vehicle utilization with the initial result in hybrid electric car (HEV) by using an optimization called Random Search Optimization. Nowadays, the developments of hybrid electric cars are not something...