PEMFC Optimization Strategy with Auxiliary Power Source in Fuel Cell Hybrid Vehicle

Abstract

Abstractone of the present-day implementation of fuel cell is acting as main power source in Fuel Cell Hybrid Vehicle (FCHV). This paper proposes some strategies to optimize the performance of Polymer Electrolyte Membrane Fuel Cell (PEMFC) implanted with auxiliary power source to construct a proper FCHV hybridization. The strategies consist of the most updated optimization method determined from three point of view i.e. Energy Storage System (ESS), hybridization topology and control system analysis. The goal of these strategies is to achieve an optimum hybridization with long lifetime, low cost, high efficiency, and hydrogen consumption rate improvement. The energy storage system strategy considers battery, supercapacitor, and high-speed flywheel as the most promising alternative auxiliary power source. The hybridization topology strategy analyzes the using of multiple storage devices injected with electronic components to bear a higher fuel economy and cost saving. The control system strategy employs nonlinear control system to optimize the ripple factor of the voltage and the current and using the AOC-EMS system to improve the hydrogen consumption rate. ECMS and BERS strategy based on Time-Triggered Controller Area Network (TTCAN) also promoted to optimize hydrogen consumption rate from recovered kinetic energy while in braking regeneration mode. mencapai hibridisasi optimal dengan masa pakai lama, biaya rendah, efisiensi tinggi, dan perbaikan tingkat konsumsi hidrogen. Strategi sistem penyimpanan energi menggunakan baterai, super dan roda gila kecepatan tinggi (high-speed flywheel) AbstrakSalah satu implementasi sel bahan bakar saat ini adalah berfungsi sebagai sumber daya utama pada kendaraan hibrida berbasis sel bahan bakar (FCHV). Makalah ini mengusulkan beberapa strategi untuk mengoptimalkan kinerja sel bahan bakar jenis polymer electrolyte membrane (PEMFC) yang digabungkan dengan sumber energi lainnya untuk membangun sebuah hibridisasi FCHV yang tepat. Strategi terdiri dari metode optimasi terkini dilihat dari tiga sudut pandang yaitu sistem penyimpanan energi (ESS), topologi hibridisasi dan analisis sistem kontrol. Tujuan dari strategi ini adalah untuk sebagai sumber listrik alternatif yang paling menjanjikan. Strategi topologi hibridisasi menganalisis penggunaan beberapa perangkat penyimpanan energi digabungkan dengan komponen elektronik untuk menghasilkan bahan bakar yang ekonomis dan hemat biaya. Strategi sistem kontrol menggunakan sistem kontrol nonlinier untuk mengoptimalkan faktor riak tegangan dan arus dan menggunakan sistem AOC-EMS untuk meningkatkan efisiensi hidrogen. Strategi ECMS dan BERS berdasarkan Time-Triggered Controller Area Network (TTCAN) juga dipromosikan untuk mengoptimalkan tingkat konsumsi hidrogen dari pemulihan energi kinetik ketika terjadi pengereman.Kata KunciPEMFC, strategi optimalisasi, FCHV, ESS, sistem kendali, topologi hibrid

Development of Bus Drive Technology towards Zero Emissions: A Review

“…Figure 9 shows the configuration usually used in FC vehicles. The basic drive train utilises a FC to power the propulsion motor; however, FCs are not well suited to providing for the transient power demands associated with city driving buses [69][70][71][72][73]. As such, most FC buses utilise a form of energy storage in a series configuration to both address this and also to utilise regenerative braking [74].…”

Development and Evaluation of a Degree of Hybridisation Identification Strategy for a Fuel Cell Supercapacitor Hybrid Bus

“…The SC bank met the fast-dynamic load requirements well. Owing to the high energy density of the FCs, the determining factor to select the energy storage option to be hybridised with the FC is the power density, which makes SCs more suitable in this case [24,25]. In this research, the fast transient response capabilities of SCs are combined with the good energy storage densities of a PEMFC to assess the degree of hybridisation required for a full-scale bus under a real-dynamic load profile.…”