International Journal of Electric and Hybrid Vehicles (14 papers in press)
Research on the energy management of a composite energy storage system in electric vehicles
by Meilan Zhou, Zhanhua Liu, Jifeng Feng
Abstract: To solve the problem of power allocation of battery and supercapacitor in the composite energy storage system of electric vehicles, we propose a logic threshold and fuzzy control strategy to arrange battery and supercapacitor to supply the average and peak power to the load, respectively. Based on the simulation software of electric vehicles, we perform simulation modelling to analyse the current of battery, the SOC of battery and the current of supercapacitor. For verifying the feasibility of the control strategy, we set up an experimental platform to study pure electric vehicles during driving and braking. Simulation and experimental results indicate that the composite energy storage system can reduce the charging and discharging times and the current amplitude of the battery, and improve the usage ratio of regenerative braking energy and the mileage of electric vehicles.
Keywords: electric vehicles; composite energy storage; control strategy; test platform.
Matching and optimisation of an in-wheel tri-motor powertrain for electric vehicles
by Hongyu Shu, Xingpeng Diao, Yexing Liao, Qiping Chen
Abstract: As an important development direction of electric vehicles (EVs), the in-wheel motor powertrain has advantages of compact structure and flexible control, although there are some serious problems, such as high performance requirements to the drive motor and complex control strategies. To address these problems, a novel in-wheel tri-motor powertrain (IWTMP) is proposed at first, followed by the introduction of configuration and operating principles. Afterwards, vehicle power demand is calculated based on vehicle parameters and dynamic performance requirements, and a statistical analysis for typical driving cycles is carried out before conducting parameters matching for the IWTMP. Next, an optimisation for original parameters is achieved with an objective function of minimum total power of the IWTMP. Finally, a detailed IWTMP EV model is developed in CRUISE, and simulation results indicate that the IWTMP meets the dynamic performance requirements and efficiently reduces the energy consumption compared with an in-wheel single motor powertrain (IWSMP).
Keywords: electric vehicles; in-wheel motor; driving cycles; statistical analysis; parameters matching; optimisation; simulation; CRUISE; dynamic performance; economic performance.
Research on battery data compression method for electric vehicles
by Xiaogang Wu, Xiaoyu Li, Chunbo Zhu
Abstract: The transmission and storage of electric vehicle battery management system data is time-consuming and infeasible, which reduces the efficiency of data transmission and storage. For this problem, this paper presents a method of battery data compression, the pre-compression is to reduce the amount of data and improve the data redundancy and repeatability, and a strategy was formulated that two universal compression methods, Huffman coding and run-length coding, were applied to different battery data. Experimental results show the method of battery data compression can achieve a good compressibility. The battery data compressibility was about 21%.
Keywords: battery data; data compression; pre-compression; Huffman coding; run-length coding.
State estimation method for power lithium-ion battery based on dynamic equilibrium voltage
by Qiuting Wang, Wei Qi, Duo Xiao
Abstract: The state parameters of power lithium-ion battery include the State of Charge (SOC), the State of Health (SOH) and the State of Power (SOP). These three parameters are used to indicate the current remaining mileage, the maximum endurance mileage, and the acceleration performance, respectively. The dynamic equilibrium voltage (DEV) based on electrical characteristics is studied in this paper. The online state estimation problems for battery cells under dynamic working conditions is discussed in depth. We chose the DEV value as the characteristic parameter to estimate the SOC and SOH values online. The main results of our researches are (1) the mathematical model of power lithium-ion battery is established based on the dynamic behaviour;(2) the state space equations are derived to describe the model parameters and the working performance; (3) the SOC and SOH values are estimated accurately, according to only the DEV curve results under all-new state. Our experiments were processed under different temperatures and different ageing degrees to investigate the new model and new estimation method.
Keywords: lithium-ion battery; dynamic equilibrium voltage; SOC; SOH; SOP; online estimation.
Simulation and analysis of heat losses of in-wheel motor for micro-electric vehicles
by Qiping Chen, Qiang Xiao, Sheng Kang, Liping Zeng, Chuanjie Liao, Xiangqin Li
Abstract: Heat losses of in-wheel motor for micro-electric vehicles are computed and analysed, which can enhance the dependability, efficiency, safety and lifetime for in-wheel motors. The theory-practice combination method is adopted in this paper. The computational mathematical model of heat losses is set up, which is regarded as the study goal, and the field-circuit coupling and the electromagnetic-thermal coupling model are regarded as the breakthrough point, and electromagnetic structures of in-wheel motor are systematically optimised. In order to settle the coupled calculation equations of electromagnetic field, temperature field, open circuit and in-wheel motor motion, control equations of incremental steps alternating solving multiple fields are calculated and analysed. A more comprehensive electromagnetic-thermal coupling calculation model is established. Calculation results are verified to illustrate the heat losses principle and uncover the internal mechanism of electromagnetic-thermal coupling field for in-wheel motors. This paper will put forward a complete set of integrated modelling method and coupling algorithm of electromagnetic-thermal coupling field, which can provide theoretical and technical support for improving in-wheel motor quality and property of micro-electric vehicles.
Keywords: heat losses; simulation; coupled solution; in-wheel motor of micro-electric vehicles.
Control of a hybrid electric vehicle with dual clutch transmission configurations during mode transition
by Walid Elzaghir, Yi Zhang, Narasimhamurthi Natarajan, Frank Massey, Chris Mi, Hafiz Malik
Abstract: Mode transitions are significant events in the operation of a hybrid electric vehicle with dual clutch transmission (HDCT). Owing to the friction-induced discontinuity of the clutch torque, seamless transition is difficult to achieve. First, this paper presents mathematical equations for the nonlinear system. Then it presents the linearised model for the proposed system. The control objective of the Model Reference Adaptive Controller (MRAC) considered in this paper is to minimise fuel consumption and reduce torque interruption in a hybrid electric vehicle. The simulation and experimental results from an HDCT demonstrate that the MRAC achieves reduced torque interruption and less vehicle jerk compared with the conventional operation method, in addition to smooth and fast transition from pure electrical driving to hybrid driving.
Keywords: hybrid electric vehicle; dual clutch transmission; mode transition; model reference adaptive control.
Power factor correction and load demand peak shaving in residential town using electric vehicle fleet in smart parking
by Chia Lailypour, Dariush Nazarpour
Abstract: This paper presents an algorithm for compensating the active and reactive power simultaneously in a real residential distribution household system using the amount of energy saved in plug-in hybrid electric vehicles (PHEVs) or in electric vehicles (EVs) parked in smart parking. The system and vehicle's specifications are discussed in separate sections. Moreover, the effects of the algorithm on active power peak shaving, reactive power compensation, and power factor correction are discussed as well. The economic effect of the algorithm on costumer energy payment bills in Iran's distribution market is depicted in section VІ. Reactive power compensation leads to correction of the power factor and power loss reduction. The main reason for connecting vehicles to the grid is to charge them in their departure time to the desired state of charge (SOC). This algorithm guarantees that all vehicles will reach their desired state of charge at least a half-hour before departure. Finally, the positive effect of algorithm on all items is demonstrated.
Keywords: charging vehicles; distributed systems; electric vehicle; plug-in hybrid electric vehicle; peak shaving; power factor correction; residential grids; smart grid; smart building; smart home; smart parking.
Smart accelerating and braking achieving higher energy efficiencies in electric vehicles
by Guido Wäger, Jonathan Whale, Thomas Bräunl
Abstract: To maximise the use of the relatively small energy storage in mainstream electric vehicles (EV), an efficient operation is critical. Regardless of the traction power or energy regeneration capabilities (recuperation), each EV motor controller operates more efficiently under certain motor rotational speeds (rpm) and loads than others. Unlike internal combustion engine (ICE) cars or hybrid cars, EVs do not have variable gearboxes that allows the rpm to be adapted to adjust the engine speed towards more efficient regions. However, the driver can actively influence the load by changing acceleration or deceleration rates. This can lead to a more efficient operation of the EV's motor and controller. Although EV efficiency tests, modelling, and multi gearbox efficiency tests have been conducted, many of these studies focused on following a speed profile with relatively small changes in acceleration and deceleration rates. This study exposes an EV to a series of high load variations in acceleration and deceleration, in order to investigate the impact on energy consumption. The results show significant improvements in efficiency and a reduction in energy consumption by applying high loads at low vehicle speeds. However, the study also found increased losses under certain high acceleration rates, which outweighed the benefits of loading an EV so that its engine speed is in its most efficient region.
Keywords: electric vehicle efficiency; motor controller efficiency; smart acceleration.
Research status of structure optimisation design for in-wheel motor-driven system
by Di Tan, Haitao Wang, Fan Song, Lidong Miao
Abstract: As one of the key technologies of the next generation 'pure electric drive' electric vehicle, the in-wheel motor-driven electric vehicle has been paid great attention by the auto industry, because of its obvious technical advantages in the overall arrangement of the vehicle, the chassis active control and the convenience of control. Domestic and international automobile group companies, scientific research institutes and automobile components suppliers have invested considerable research and development efforts on these vehicles. The in-wheel motor-driven system integrates the motor, the speed reducer, the brake and so on into a narrow space and its integrated structure and performance directly affect the driving/braking performance of the driving wheels and the driving performance of the vehicle. Therefore, as one of the core technologies of these vehicles, the optimisation design of the integrated structure has always been a difficult and hot spot in the research institutes. In this paper, the development status of the optimisation design technology for the integrated structure of the in-wheel motor driven system at home and abroad is analysed and summarised, and on the basis of this, the future research directions are discussed.
Keywords: in-wheel motor-driven system; optimisation design; electromagnetic design; thermal design; lightweight design.
Power optimisation of electric coaster
by Ataur Rahman, Mizanur Rahman, Sany Ihsan Izan, Ahmed Faris
Abstract: Sustainability is the capacity to endure and ensure that the advanced technology for electric vehicles (EVs) remains diverse and productive over time. The power optimisation of the battery pack has been maintained by enhancing the lifespan of the battery by keeping the battery temperature 35-40
Keywords: electric vehicle sustainability; wireless battery management system; battery thermal management; cell charge balancing management.
Modelling and control of a bidirectional single-phase single-stage converter for plug-in electric vehicles
by Reza Sabzehgar, Yaser M. Roshan
Abstract: In this paper, the modelling and control of a bidirectional single-phase single-stage converter for plug-in electric vehicles is presented. A nonlinear sliding mode controller with boundary layer solution and a redefined sliding manifold are proposed to enforce a pseudo-resistive relation between the input voltage and current. Based on the pseudo-resistive relationship obtained between the input voltage and current, the sliding mode control approach is used to regulate the input resistance of the converter to a desired value, hence allowing charging and discharging of PEVs. Numerical simulation results are presented that evaluate performance of the proposed modelling and feedback control scheme.
Keywords: plug-in electric vehicle; vehicle-to-grid; grid-to-vehicle; bidirectional charger; power electronics converter; modelling and control; sliding mode control; sliding manifold redefinition; chattering compensation.
Electrical vehicle bearings: technological impact, applications and requirements
by Maruti Khaire
Abstract: The automotive industry is going through a major technological shift from internal combustion engines to Electric Vehicles (EV). The EV technologies are governed mainly from cleaner energy and environmental concerns besides falling fossil fuel reserves. This major technological shift is having a long-term and significant impact on the bearings industry. Bearing usage per vehicle is expected to come down with electrification of bearings. This paper discusses the impact of vehicle electrification on the bearings industry and the technological requirements for successful development of EV bearings. Enhanced bearing life, reliability improvement, power dense bearings, smart bearings capable of sensor implementation, optimised friction, NVH characteristics, special attention to lubricants and sealing are some of the key technical requirements for EV vehicle bearings. Surface engineering and application of specialty coatings have the potential to increase bearing application coverage and optimised cost of bearing for EVs. EV bearings are going to add new bearing damages, such as electrical pitting and lubricant burning. Electrical pitting and lubricant burning are going to generate internal contamination in the bearings, which may reduce the life of bearings. It is imperative for bearing engineers to build a deeper understanding of the new technological requirements for EV bearings to fulfill the new market requirements.
Keywords: electrical vehicle bearings; reliability improved bearing; power dense bearing; smart bearing; friction optimisation in bearing.
Modelling of inductive resonant transfer for electric vehicles.
by Luca Pugi, Alberto Reatti, Rosa Anna Mastromauro, Fabio Corti
Abstract: Wireless recharge of electric vehicles is an important field of research deeply connected to the diffusion of electric vehicles. In particular, the design of induction power transfer systems involves the development of resonant power circuits electromagnetically coupled through inductive coils. In this work, by means of the tools used for the modal analysis of the vibrating systems, we propose an innovative approach for modelling and design based on an innovative bond-graph physical similitude. In particular, the proposed approach is applied to the study of an inductive power transfer system with series-series compensation. With respect to the proposed case study, we have been able to verify how methods that are usually adopted to perform modal analysis of mechanical systems should be also used for an optimal design of the system. In particular, one of the main advantages of the proposed approach is the possibility of an intuitive physical interpretation of system behaviour as an equivalent mechanical one. Another contribution of the work is represented by the definition of a new dimensionless parameter, briefly called weighted modal damping, that is quite useful to optimise an applied load respect to efficiency issues. The accuracy of the proposed methodology is verified on a couple of numerical test cases: the first one refers to experimental activities performed by the authors, and the second one is taken from the literature. Further verifications are also performed using finite element methods of the modelled systems. All the performed experimental activities and numerical simulations substantially converge to the same conclusions, confirming the validity and feasibility of the proposed approach.
Keywords: inductive power transfer; bond-graph approach; optimisation of vibrating systems.
Mathematical modelling of energy harvesting in piezo embedded electric vehicle tyres together with self-health assessment of suspension system
by Raziq Yaqub, Kaveh Heidary
Abstract: This paper proposes embedding piezoelectric material inside the Electric Vehicle (EV) tyres in order to harvest otherwise wasted energy and monitor the health of the tyres and suspension system. The discussion will focus on two aspects of the proposed system. One pertains to the mathematical modelling of energy harvesting through piezoelectric energy conversion process inside the tyre, and the other with collecting and processing the mechanical stress data obtained from the embedded piezoelectric material. The energy generated from the piezoelectric material, which entails conversion of mechanical strain of the embedded piezoelectric material to electrical energy, is utilised to charge the battery and extend the driving range of the EV. Concurrently, the material stress-strain data generated by and collected from the piezoelectric material is used to extract valuable real-time information that may be used for condition-based maintenance pertaining to the tyres' remaining useful life, uneven or excessive tyre wear, the need for wheel balancing, assessment of the suspension system health condition, and an alert for vehicle maintenance, such as wheel alignment. Thus the proposed system will not only reduce the driving range anxiety, it will also enhance vehicle health and safety and lead to concomitant savings.
Keywords: Energy harvesting; Piezoelectricity; Electric Vehicles; Mechanical stress-to-electricity conversion; automobile tyres and suspension system; data acquisition and display.