Abstract. A hybrid energy storage system (HESS) composed of a battery and super-capacitor (SC) can make full use of advantages in energy and power density, which can further improve the performance of hybrid electric vehicles (HEV). Most studies have been limited to configuration and control to reduce the burden and prolong the life cycle of the battery, seldom focusing on the redesign of energy management strategies (EMS) for HEVs when passing from battery-only energy storage to HESS. In this paper, the equivalent fuel consumption during parallel-charging of a semi-active HESS in a series-parallel HEV under rule-based EMS was deduced, and a fuzzy-logic based (FLB) CS for the HESS was established using the state of energy (SOE) of the battery and SC as inputs. This allows the requirement of energy balance for HESS to be clearly expressed. Furthermore, the regulated EMS for HEV, which could dynamically manage the high efficiency of the engine and maintain the real-time charging/discharging capability of HESS, was proposed and verified under hardware in a loop test (HIL). Quantitative comparison of results between HESS and battery-only indicated that velocity-based SC'SOE-adjustable EMS presented in this paper could make better use of SC in filtering than SOE-constant EMS, and improve the fuel economy of HEVs from 22.76 l/100 km (battery-only) to 21.18 l/100 km. In order to emphasize the advantages of management, the electric energy usage/loss and efficiency under city driving-cycle were also presented.
Take the 60Ah lithium iron phosphate battery equipped for an electronic vehicle as research object, develop the Battery Management System (BMS) and process the bench test. The system uses LTC6802 chip to implement local electronic information collection unit, uses the resistance-voltage distributing principle to implement the high-voltage collecting and insulation resistance detecting, uses MC9S12XDP512 chip to implement the top-level data processing and vehicle information interaction. Bench test shows the designed BMS can monitor all states of the battery pack and compute in real time. At the same time BMS can communicate with the Vehicle Control Unit (VCU) reliably.
This paper introduced the structure of Extended-Range Electric Vehicles as well as its characteristics. Principle researches have been offered on the parameters matching of the power-train and main components. Operating modes and control strategies were discussed, especially the two control strategies of charge sustaining mode which is shown as load following strategy and engine optimal strategy, and the effects of both control strategies are simulated and analyzed. The results indicate that the load following strategy can obviously extend battery’s lifespan, but the engine optimal strategy can reduce fuel consumption and emission effectively.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.