Multiobjective Optimal Sizing of Hybrid Energy Storage System for Electric Vehicles

Zhang, Lei; Hu, Xiaosong; Wang, Zhenpo; Sun, Fuchun; Deng, Junjun; Dorrell, David G.

doi:10.1109/tvt.2017.2762368

Cited by 235 publications

(81 citation statements)

References 38 publications

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“…The work in [5,6] considered a battery aging issue in the battery design methodology. The authors proposed design methodologies for optimal sizing of the Hybrid Energy Storage System (HESS) used in an electric vehicle to minimize both of the total HESS cost and battery degradation for a given driving profile.…”

Section: Background and Related Workmentioning

confidence: 99%

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Optimal Battery Sizing for Electric Truck Delivery

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Finding the cost-optimal battery size in the context of parcel delivery with Electric Vehicles (EVs) requires solving a tradeoff between using the largest possible battery (so as to maximize the number of deliveries over a given time) and the relative costs (initial investment plus the unnecessary increase of the truck weight during delivery). In this paper, we propose a framework for the optimal battery sizing for parcel delivery with an electric truck; we implement an electric truck simulator including a nonlinear battery model to evaluate revenue, battery cost, charging cost, and overall profit for annual delivery. Our framework finds the cost-optimal battery size for different parcel weight distributions and customer location distributions. We analyze the effect of battery sizing on the profit, which is up to 56%.

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Section: Background and Related Workmentioning

confidence: 99%

“…The design optimization of the electric vehicle has been studied for a long time [4][5][6][7]. Vehicle simulators have been used to estimate the energy consumption by a given combination of vehicle components such as battery and motor size.…”

Section: Introductionmentioning

confidence: 99%

Optimal Battery Sizing for Electric Truck Delivery

et al. 2020

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“…Efficiency is calculated considering power loss, as in Equation (26). P EV_loss is the energy storage system loss and motor loss.…”

Section: Discretization Of the Target Cyclementioning

confidence: 99%

Optimal Design of a Novel Hybrid Electric Powertrain for Tracked Vehicles

Qin

Luo

et al. 2017

Energies

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Tracked vehicles have been widely used in construction, agriculture, and the military. Major problems facing the industry, however, are high emissions and fuel consumption. Hybrid electric tracked vehicles have thus become increasingly popular because of their improved fuel economy and reduced emissions. While the series hybrid system has drawn the most attention and has been applied in most cases, the low efficiency caused by energy conversion losses and large propulsion motors has limited its development. A novel multi-mode powertrain with two output shafts controlling each side of the track independently is first proposed. The powertrain is a three-planetary-gear power-split system with one engine, three motors, and an ultracapacitor pack. Compared with the existing technologies, the proposed powertrain can realize skid steering without an extra steering mechanism, and significantly improve the overall efficiency. To demonstrate the advantages of the novel powertrain, a topology-control-size integrated optimization problem is solved based on drivability, fuel economy, and cost. Final simulation results show that the optimized design with downsized components can produce about a 30% improvement in drivability and a 15% improvement in fuel economy compared with the commonly used series hybrid benchmark. Moreover, the optimized design is verified to be much more economical taking cumulative cost into account, which is very attractive for potential industrial applications in the future.

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“…The energy management strategy used for hybrid power system mainly includes the rule-based energy management strategy [10], the experience-based energy management strategy [11], and the optimization-based energy management strategy which is widely used in the area of vehicles' power distribution [12]. Some scholars have used the NSGA-II multi-objective algorithm to optimize the matching and energy management strategy parameters of hybrid power system in electric vehicles [13,14]; some researchers have used convex optimization to match the parameters of hybrid power system and optimize the energy management strategy [15,16]; and some scholars have used model predictive control algorithm [17,18], dynamic programming algorithm [19][20][21], and fuzzy logic control algorithm [22] to optimize the energy management strategy of hybrid power system. At present, these researches on hybrid power supply in vehicles and its energy management strategy are mainly aimed at the power system used for new energy vehicles which composed by power battery and SC, while the new hybrid power supply composed of the VPS and SC and its energy management strategy have rarely studied.Based on the analysis of the current requirement of EPS and compared these referred energy management strategies, the HP-EPS system is constructed and an optimized rule-based energy management strategy based on PSO algorithm for the HP-EPS system is proposed.…”

mentioning

confidence: 99%

Optimization of Energy Management Strategy for the EPS with Hybrid Power Supply Based on PSO Algorithm

et al. 2020

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The traditional vehicle power supply is unable to meet the power requirement of electric power steering system (EPS) in heavy-duty vehicles at low speeds. A novel EPS with hybrid power supply (HP-EPS) is constructed in this paper, and a new optimized rule-based energy management strategy of hybrid power supply system is designed. The strategy determines the power distribution of the vehicle power supply (VPS) and super capacitor (SC), as well as the charging or discharging of SC. Furthermore, to minimize the output current fluctuation of the VPS, the optimization model of parameters in the strategy is established and the particle swarm optimization algorithm (PSO) algorithm is applied to optimize the rules in the energy management strategy. The verification for the designed energy management strategy is carried out in MATLAB/Simulink and results show that the output current peak of VPS decreases by 33% and its fluctuation depresses significantly. In addition, the SC is charged timely and fast, which is beneficial to guarantee enough state of charge (SOC) of SC. In conclusion, the optimized rule-based energy management strategy used for the HP-EPS system can meet the current requirement of EPS and effectively reduce the peak and fluctuation of the VPS output current.

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Multiobjective Optimal Sizing of Hybrid Energy Storage System for Electric Vehicles

Cited by 235 publications

References 38 publications

Optimal Battery Sizing for Electric Truck Delivery

Optimal Battery Sizing for Electric Truck Delivery

Optimal Design of a Novel Hybrid Electric Powertrain for Tracked Vehicles

Optimization of Energy Management Strategy for the EPS with Hybrid Power Supply Based on PSO Algorithm

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