Results 191 to 200 of about 3,412 (242)

Data-driven evaluation of electric vehicle energy consumption for generalizing standard testing to real-world driving. [PDF]

Patterns (N Y)
Yuan X, He J, Li Y, Liu Y, Ma Y, Bao B, Gu L, Li L, Zhang H, Jin Y, Sun L.   +10 more
europepmc   +1 more source

Advancement of electric vehicle technologies, classification of charging methodologies, and optimization strategies for sustainable development - A comprehensive review. [PDF]

Heliyon
Madaram VG, Biswas PK, Sain C, Thanikanti SB, Balachandran PK.   +4 more
europepmc   +1 more source

Sustainable EV routing using spectral clustering and fuzzy reinforcement learning with energy constrained A* under mobility index and waiting constraints. [PDF]

Sci Rep
P AP, R R.
europepmc   +1 more source

Optimizing hybrid energy systems for locomotives based on improved grey lag goose algorithm. [PDF]

Sci Rep
Gou X, Li J, Yazdani B.
europepmc   +1 more source

Thermochemically activated <i>Ficus benghalensis</i> leaf-derived porous activated carbon for sustainable supercapacitor electrodes. [PDF]

RSC Adv
Choudari BN, Hegde SS, Herbert MA, G N K, Bhat BR.   +4 more
europepmc   +1 more source

Beyond the tailpipe: Review of non-exhaust airborne nanoparticles from road vehicles. [PDF]

Eco Environ Health
Wei Y, Kumar P.
europepmc   +1 more source

Hierarchical optimization control strategy of hybrid electric vehicle platoon under communication failure. [PDF]

iScience
Wang J, Zeng Z, Lei W, Ye H, Su W, Li X, Guo J, Jiang J, Li K.   +8 more
europepmc   +1 more source

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Evaluation strategy of regenerative braking energy for supercapacitor vehicle

ISA Transactions, 2015
In order to improve the efficiency of energy conversion and increase the driving range of electric vehicles, the regenerative energy captured during braking process is stored in the energy storage devices and then will be re-used. Due to the high power density of supercapacitors, they are employed to withstand high current in the short time and ...
Binggang Cao, Junyi Cao, Wen Chen
exaly   +3 more sources

Maximise the Regenerative Braking Energy using Linear Programming [PDF]

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014
Regenerative braking improves the energy efficiency of railway transportation by converting the kinetic energy into the electrical energy. In this paper, Linear Programming (LP) is applied to search for the train braking trajectory with the maximum Regenerative Braking Energy (RBE).
Shaofeng Lu, Paul Weston, Ning Zhao 0001
openaire   +2 more sources